anges_pipeline.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\matsumoton\\Box\\tpot_benchmarking\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\tqdm\\auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "os.chdir('C:/Users/matsumoton/Box/tpot_benchmarking')\n",
    "print(os.getcwd())\n",
    "from tpot.tpot import TPOTClassifier\n",
    "from sklearn.datasets import load_digits\n",
    "from sklearn.model_selection import train_test_split\n",
    "from test_utils import extract_labels, get_optimizer, create_dirs\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    " # This is done based on the dataset ID.\n",
    "#dataset = openml.datasets.get_dataset(1164)\n",
    "#dataset = openml.datasets.get_dataset(1164)\n",
    "dataset = pd.read_csv(\"C:/Users/matsumoton/Box/anges/anges_cad_1_train.csv\",sep=\",\")\n",
    "y_train = dataset['target']\n",
    "X_train = dataset.drop(['target'],axis=1)\n",
    "\n",
    "test_dataset = pd.read_csv(\"C:/Users/matsumoton/Box/anges/anges_cad_1_test.csv\",sep=\",\")\n",
    "y_test = test_dataset['target']\n",
    "X_test = test_dataset.drop(['target'],axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tpot.tpot.TPOTClassifier"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TPOTClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(696, 101) (232, 101) (696,) (232,)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#X_train, X_test, y_train, y_test = train_test_split(dataset, y, train_size=0.8)\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "# Fit on training set only.\n",
    "scaler.fit(X_train)\n",
    "# Apply transform to both the training set and the test set.\n",
    "train_img = scaler.transform(X_train)\n",
    "test_img = scaler.transform(X_test)\n",
    "\n",
    "#test_img = X_test\n",
    "#train_img = X_train\n",
    "#from sklearn.decomposition import PCA\n",
    "#pca = PCA(svd_solver='randomized', iterated_power= 5)\n",
    "#pca = PCA(n_components = train_img.shape[0])\n",
    "#pca.fit(train_img)\n",
    "#train_img = pca.transform(train_img)\n",
    "#test_img = pca.transform(test_img)\n",
    "\n",
    "#digits = load_digits()\n",
    "#X_train, X_test, y_train, y_test = train_test_split(digits.data, digits.target,train_size=0.75, test_size=0.25)\n",
    "print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)\n",
    "\n",
    "\n",
    "#tpot.dump_fitness_tracker('digen25.csv')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(696, 101) (232, 101) (696,) (232,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\xgboost\\compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  from pandas import MultiIndex, Int64Index\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                                 \n",
      "Generation 1 - Current best internal CV score: 0.7805105695317959\n",
      "                                                                                 \n",
      "Generation 2 - Current best internal CV score: 0.7805105695317959\n",
      "                                                                                 \n",
      "Generation 3 - Current best internal CV score: 0.7846711215932914\n",
      "                                                                                 \n",
      "Generation 4 - Current best internal CV score: 0.7846711215932914\n",
      "                                                                                 \n",
      "Generation 5 - Current best internal CV score: 0.7846711215932914\n",
      "                                                                                 \n",
      "Generation 6 - Current best internal CV score: 0.7846711215932914\n",
      "                                                                                 \n",
      "Generation 7 - Current best internal CV score: 0.7846711215932914\n",
      "                                                                                  \n",
      "Generation 8 - Current best internal CV score: 0.7909036512928022\n",
      "                                                                                 \n",
      "Generation 9 - Current best internal CV score: 0.7909036512928022\n",
      "                                                                                  \n",
      "Generation 10 - Current best internal CV score: 0.7993313242487771\n",
      "                                                                                 \n",
      "Generation 11 - Current best internal CV score: 0.7993313242487771\n",
      "                                                                                 \n",
      "Generation 12 - Current best internal CV score: 0.7993313242487771\n",
      "                                                                                   \n",
      "Generation 13 - Current best internal CV score: 0.8006503319357094\n",
      "                                                                                   \n",
      "Generation 14 - Current best internal CV score: 0.8006503319357094\n",
      "                                                                                   \n",
      "Generation 15 - Current best internal CV score: 0.8006503319357094\n",
      "                                                                                   \n",
      "Generation 16 - Current best internal CV score: 0.8006503319357094\n",
      "                                                                                   \n",
      "Generation 17 - Current best internal CV score: 0.8033416317260655\n",
      "                                                                                   \n",
      "Generation 18 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 19 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 20 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 21 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 22 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 23 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 24 - Current best internal CV score: 0.8117557651991614\n",
      "                                                                                    \n",
      "Generation 25 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 26 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 27 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                     \n",
      "Generation 28 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 29 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 30 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 31 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 32 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 33 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 34 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 35 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 36 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 37 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 38 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 39 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 40 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 41 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 42 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                    \n",
      "Generation 43 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                  \n",
      "Generation 44 - Current best internal CV score: 0.8151821278825995\n",
      "                                                                                  \n",
      "Generation 45 - Current best internal CV score: 0.8163395352900069\n",
      "                                                                                  \n",
      "Generation 46 - Current best internal CV score: 0.8163395352900069\n",
      "                                                                                  \n",
      "Generation 47 - Current best internal CV score: 0.8163395352900069\n",
      "                                                                                  \n",
      "Generation 48 - Current best internal CV score: 0.8163395352900069\n",
      "                                                                                  \n",
      "Generation 49 - Current best internal CV score: 0.8163395352900069\n",
      "                                                                                  \n",
      "Generation 50 - Current best internal CV score: 0.8163395352900069\n",
      "                                                                                  \n",
      "Best pipeline: MultinomialNB(ExtraTreesClassifier(RandomForestClassifier(SelectPercentile(SGDClassifier(input_matrix, alpha=0.01, eta0=0.1, fit_intercept=False, l1_ratio=0.25, learning_rate=invscaling, loss=perceptron, penalty=elasticnet, power_t=1.0), percentile=29), bootstrap=False, criterion=entropy, max_features=0.6000000000000001, min_samples_leaf=20, min_samples_split=11, n_estimators=100), bootstrap=False, criterion=gini, max_features=0.05, min_samples_leaf=14, min_samples_split=6, n_estimators=100), alpha=1.0, fit_prior=False)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\metrics\\_scorer.py:765: FutureWarning: sklearn.metrics.SCORERS is deprecated and will be removed in v1.3. Please use sklearn.metrics.get_scorer_names to get a list of available scorers and sklearn.metrics.get_metric to get scorer.\n",
      "  warnings.warn(\n",
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but SGDClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.684180790960452\n",
      "                                                                                 \n",
      "Generation 1 - Current best internal CV score: 0.7889544025157234\n",
      "                                                                                  \n",
      "Generation 2 - Current best internal CV score: 0.7889544025157234\n",
      "                                                                                 \n",
      "Generation 3 - Current best internal CV score: 0.7889544025157234\n",
      "                                                                                 \n",
      "Generation 4 - Current best internal CV score: 0.7978957023060798\n",
      "                                                                                  \n",
      "Generation 5 - Current best internal CV score: 0.7978957023060798\n",
      "                                                                                  \n",
      "Generation 6 - Current best internal CV score: 0.7978957023060798\n",
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      "Generation 7 - Current best internal CV score: 0.7978957023060798\n",
      "                                                                                  \n",
      "Generation 8 - Current best internal CV score: 0.7978957023060798\n",
      "                                                                                  \n",
      "Generation 9 - Current best internal CV score: 0.79826607267645\n",
      "                                                                                  \n",
      "Generation 10 - Current best internal CV score: 0.8017902690426275\n",
      "                                                                                  \n",
      "Generation 11 - Current best internal CV score: 0.8017902690426275\n",
      "                                                                                    \n",
      "Generation 12 - Current best internal CV score: 0.804845387840671\n",
      "                                                                                    \n",
      "Generation 13 - Current best internal CV score: 0.8102166317260655\n",
      "                                                                                   \n",
      "Generation 14 - Current best internal CV score: 0.8102166317260655\n",
      "                                                                                   \n",
      "Generation 15 - Current best internal CV score: 0.8102166317260655\n",
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      "Generation 16 - Current best internal CV score: 0.8102166317260655\n",
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      "Generation 17 - Current best internal CV score: 0.8102166317260655\n",
      "                                                                                    \n",
      "Generation 18 - Current best internal CV score: 0.8102166317260655\n",
      "                                                                                    \n",
      "Generation 19 - Current best internal CV score: 0.8102166317260655\n",
      "                                                                                    \n",
      "Generation 20 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                     \n",
      "Generation 21 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 22 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 23 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 24 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 25 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 26 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 27 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 28 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 29 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 30 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 31 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 32 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 33 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 34 - Current best internal CV score: 0.8124506464011182\n",
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      "Generation 35 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                    \n",
      "Generation 36 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                    \n",
      "Generation 37 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                  \n",
      "Generation 38 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                    \n",
      "Generation 39 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                  \n",
      "Generation 40 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                  \n",
      "Generation 41 - Current best internal CV score: 0.8124506464011182\n",
      "                                                                                    \n",
      "Generation 42 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                  \n",
      "Generation 43 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                  \n",
      "Generation 44 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                    \n",
      "Generation 45 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                  \n",
      "Generation 46 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                  \n",
      "Generation 47 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                    \n",
      "Generation 48 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                  \n",
      "Generation 49 - Current best internal CV score: 0.8155931167016073\n",
      "                                                                                  \n",
      "Generation 50 - Current best internal CV score: 0.8155931167016073\n",
      "                                                              \n",
      "Best pipeline: MultinomialNB(SelectPercentile(SelectPercentile(XGBClassifier(MinMaxScaler(LogisticRegression(input_matrix, C=0.5, dual=False, penalty=l2)), learning_rate=0.001, max_depth=9, min_child_weight=19, n_estimators=100, n_jobs=1, subsample=0.35000000000000003, verbosity=0), percentile=35), percentile=33), alpha=0.01, fit_prior=False)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\metrics\\_scorer.py:765: FutureWarning: sklearn.metrics.SCORERS is deprecated and will be removed in v1.3. Please use sklearn.metrics.get_scorer_names to get a list of available scorers and sklearn.metrics.get_metric to get scorer.\n",
      "  warnings.warn(\n",
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7528505392912173\n",
      "                                                                                   \n",
      "Generation 1 - Current best internal CV score: 0.781408106219427\n",
      "                                                                                 \n",
      "Generation 2 - Current best internal CV score: 0.781408106219427\n",
      "                                                                                  \n",
      "Generation 3 - Current best internal CV score: 0.781408106219427\n",
      "                                                                                  \n",
      "Generation 4 - Current best internal CV score: 0.781408106219427\n",
      "                                                                                   \n",
      "Generation 5 - Current best internal CV score: 0.7854061844863732\n",
      "                                                                                    \n",
      "Generation 6 - Current best internal CV score: 0.7855398322851153\n",
      "                                                                                   \n",
      "Generation 7 - Current best internal CV score: 0.7914198986722571\n",
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      "Generation 8 - Current best internal CV score: 0.7914198986722571\n",
      "                                                                                   \n",
      "Generation 9 - Current best internal CV score: 0.7914198986722571\n",
      "                                                                                   \n",
      "Generation 10 - Current best internal CV score: 0.7914198986722571\n",
      "                                                                                   \n",
      "Generation 11 - Current best internal CV score: 0.7951406359189377\n",
      "                                                                                   \n",
      "Generation 12 - Current best internal CV score: 0.8000890985324947\n",
      "                                                                                   \n",
      "Generation 13 - Current best internal CV score: 0.8000890985324947\n",
      "                                                                                   \n",
      "Generation 14 - Current best internal CV score: 0.8000890985324947\n",
      "                                                                                   \n",
      "Generation 15 - Current best internal CV score: 0.8000890985324947\n",
      "                                                                                    \n",
      "Generation 16 - Current best internal CV score: 0.8103306254367574\n",
      "                                                                                   \n",
      "Generation 17 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 18 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 19 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 20 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 21 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 22 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 23 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 24 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 25 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 26 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 27 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 28 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 29 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 30 - Current best internal CV score: 0.8103306254367574\n",
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      "Generation 31 - Current best internal CV score: 0.8103306254367574\n",
      "                                                                                    \n",
      "Generation 32 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 33 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 34 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 35 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 36 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 37 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 38 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 39 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 40 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                    \n",
      "Generation 41 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                    \n",
      "Generation 42 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 43 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 44 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                  \n",
      "Generation 45 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                  \n",
      "Generation 46 - Current best internal CV score: 0.8247309573724669\n",
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      "Generation 47 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                  \n",
      "Generation 48 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                  \n",
      "Generation 49 - Current best internal CV score: 0.8247309573724669\n",
      "                                                                                  \n",
      "Generation 50 - Current best internal CV score: 0.8247309573724669\n",
      "                                                              \n",
      "Best pipeline: MultinomialNB(MLPClassifier(RFE(GradientBoostingClassifier(input_matrix, learning_rate=0.001, max_depth=8, max_features=0.8500000000000001, min_samples_leaf=20, min_samples_split=19, n_estimators=100, subsample=0.5), criterion=entropy, max_features=0.9500000000000001, n_estimators=100, step=0.2), alpha=0.1, learning_rate_init=0.01), alpha=0.01, fit_prior=False)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\metrics\\_scorer.py:765: FutureWarning: sklearn.metrics.SCORERS is deprecated and will be removed in v1.3. Please use sklearn.metrics.get_scorer_names to get a list of available scorers and sklearn.metrics.get_metric to get scorer.\n",
      "  warnings.warn(\n",
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but GradientBoostingClassifier was fitted with feature names\n",
      "  warnings.warn(\n",
      "c:\\Users\\matsumoton\\Anaconda3\\envs\\tpot_env\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but GradientBoostingClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7183359013867489\n",
      "                                                                                  \n",
      "Generation 1 - Current best internal CV score: 0.7805105695317959\n",
      "                                                                                  \n",
      "Generation 2 - Current best internal CV score: 0.7805105695317959\n",
      "                                                                                  \n",
      "Generation 3 - Current best internal CV score: 0.7805105695317959\n",
      "                                                                                  \n",
      "Generation 4 - Current best internal CV score: 0.7805105695317959\n",
      "                                                                                  \n",
      "Generation 5 - Current best internal CV score: 0.7825537211740041\n",
      "                                                                                  \n",
      "Generation 6 - Current best internal CV score: 0.7825537211740041\n",
      "Optimization Progress:  15%|█▌        | 400/2600 [54:41<3:36:10,  5.90s/pipeline]"
     ]
    }
   ],
   "source": [
    "\n",
    "for run_id in range(0,40):\n",
    "        # tpot = TPOTClassifier(verbosity=2, max_time_mins=5, population_size=40)\n",
    "        tpot = TPOTClassifier(verbosity=2, population_size=100, offspring_size=50, generations=50, track_fitnesses=True,\n",
    "                track_generations=True, resource_logging=True, test_x = X_test, test_y = y_test, scoring=\"balanced_accuracy\",cv=10) \n",
    "        #tpot.fit(X_train, y_train)\n",
    "        tpot.fit(X_train, y_train)\n",
    "        tpot.dump_fitness_tracker(f\"C:/Users/matsumoton/Box/anges/baseline_{run_id}_fitness.csv\")\n",
    "        tpot.dump_pareto_fitness_tracker(f\"C:/Users/matsumoton/Box/anges/baseline_{run_id}_pareto_fitness.csv\")\n",
    "        tpot.dump_primitives_mutations(f\"C:/Users/matsumoton/Box/anges/baseline_{run_id}_mutation_rates.csv\")\n",
    "        tpot.dump_parents_offspring_fitnesses(f\"C:/Users/matsumoton/Box/anges/baseline_{run_id}_parent_offspring_fitness.csv\")\n",
    "        tpot.dump_resource_logging(f\"C:/Users/matsumoton/Box/anges/baseline_{run_id}_resource_logging.csv\")\n",
    "        with open(f\"C:/Users/matsumoton/Box/anges/baseline_{run_id}_evaluated_individuals.pkl\", 'wb') as outp:\n",
    "                tpot.dump(pipeline_optimizer.evaluated_individuals_, outp, -1)\n",
    "        print(tpot.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'\\noperator count table\\nfor directoryev in directoryevs:\\n    print(directoryev)\\n    for i in range(0,generation_num):\\n        print(str(i) + \\' \\' + str(np.mean(frame_df.loc[(frame_df[\\'generation\\']==i) & (frame_df[\"type\"] == directoryev),\\'operator_count\\'])) + \\' \\' + str(np.median(frame_df.loc[(frame_df[\\'generation\\']==i) & (frame_df[\"type\"] == directoryev),\\'operator_count\\'])))\\n'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from os.path import exists\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn\n",
    "import statistics\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (30,16)\n",
    "\n",
    "directoryevs = [\"_baseline\",\"\"]\n",
    "\n",
    "upper_quantile_only = True\n",
    "\n",
    "generation_num = 50\n",
    "total_runs = 40\n",
    "\n",
    "ev = []\n",
    "for directoryev in directoryevs:\n",
    "    temp_ev = []\n",
    "    for i in range(total_runs):\n",
    "        ev_df_name = f\"/Users/matsumoton/pareto/anges{directoryev}_{i}_fitness.csv\"\n",
    "        if not exists(ev_df_name):\n",
    "            continue\n",
    "        fitness_df = pd.read_csv(ev_df_name, sep=',')\n",
    "        fitness_df = fitness_df[~fitness_df.isin([np.nan, np.inf, -np.inf]).any(1)]\n",
    "        if upper_quantile_only:\n",
    "            high_quantile= []\n",
    "            for g in range(0,generation_num):\n",
    "                upper_quantile = np.quantile(fitness_df.loc[fitness_df['generation']==g,'score'],0.9)\n",
    "                high_quantile.append(fitness_df.loc[(fitness_df['generation']==g) & (fitness_df['score'] >= upper_quantile)])\n",
    "            fitness_df = pd.concat(high_quantile)\n",
    "            \n",
    "        temp_ev.append(fitness_df)\n",
    "\n",
    "    temp_ev = pd.concat(temp_ev)\n",
    "    temp_ev[\"type\"] = directoryev\n",
    "    ev.append(temp_ev)\n",
    "frame_df = pd.concat(ev)\n",
    "frame_df = frame_df[~frame_df.isin([np.nan, np.inf, -np.inf]).any(1)]\n",
    "seaborn.violinplot(x=\"generation\",y=\"score\",hue=\"type\",data=frame_df, label = \"type\" if i == 0 else \"\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "'''\n",
    "operator count table\n",
    "for directoryev in directoryevs:\n",
    "    print(directoryev)\n",
    "    for i in range(0,generation_num):\n",
    "        print(str(i) + ' ' + str(np.mean(frame_df.loc[(frame_df['generation']==i) & (frame_df[\"type\"] == directoryev),'operator_count'])) + ' ' + str(np.median(frame_df.loc[(frame_df['generation']==i) & (frame_df[\"type\"] == directoryev),'operator_count'])))\n",
    "'''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BSUP62xOsuaOb57Yf57L5E0iNd72rMxjm56ZSUt1C01BekxFEAjAhhBAjhqP+a9q4JDITY4ZtBcxR/+VQZC/EL6keQvf1uiNgs3eXdwrA+nqADW7C6pA1HCtgtW3ERFr61aItLUwnPz3er55gz24/TltXDzeuCH7xvbP5ealoDbsrxkYaUgIwIYQQI4ajB1hOcsywNERtaOviRGPH4ADMno48PJQAsPqg+agioHJP383NnpuwQl9/sFB2w3e0oFCqr2bLYlF8YtFE1pfUcLyh3es5tNY8tLGUebkpvYXyoeKYLTlW+oFJACaEEGLEcKyA5STFMi0nkeKqlpDuhBxYgO+QlxZHdKRlaL3AauwB2OQz+62A9Y0hch+ARUVYSI2PCnkNWL5T+tHhykW59p5g3lfBNh2t43BVS8hXvwBS4qOYnJkwZnZCSgAmhBBixKhs6iTaHnxMzUmipdMa0p2Q+0+aFS5HDzCHyAgLkzMThrYCV3MYknMhbznUlkCXqbnyNobIIZTjiLTWlNW19bagcJaXHs+Kyek8tdV7T7CHPiwlJS6KS+dNCMl1DjQ/L3XMFOJLACaEEGLEqGrqICspBqUU0xwNUUNYB7bvRBOZiTEuh2IX5SQNrRVF9UHImgY5swEN1fvNzc2dxEdHeB1WnRHCgdy1rV20dfVQkDE4AAO4anEex2rb2OqhJ1hVcwf/2XOKqxbnEhcd4fa4YJqfm0JlUyenhqE9SagFZ1S5EEKMME9vrfC5gPv8WTksKUwP8RUJX1Q2d5Bjb8/QV4fVwlnTs0PyfKYAP8nlfVOzEnlx1wnau3r8DzBsNrMCtugmewCGSUNOXOy1CatDZlIM+0+EpvN7bwsKFytgABfNGcePnt/DU1sr3H5vPL6pHKtN88nlwZv76I2jzmxHeQMXpgRv4Hc4SAAmhBhzGtu7+fZTO4mwKLez9hy6rDa2ldXz5OdWDdPVCU+qmjp7RwGlJ0STmRgdsqHcXVYbxVUtrJ1W6PL+opxEtIaS6hbmTEzx7+RNx6G7FTKnQWohRCX01oFVNXd4rP9yyEyI7k1XBlu5lwAsIcb0BHtx10l+fOnsQQGotcfGo5vKWFuUyeSsxJBcoyszxycTFaHYWdHAhXMkABNCiBFl09E6bBoeuW05KyZneDz2+8/s5uXdJ9Fa99sNJsKjsqmD1VP7RtlMzU4M2VDukuoWunpszBqwA9LB0YqiuCqAAKzmkPmYNR0sFsiZ1RuAVTd3Mn2c61U3Z5mJMTR3WOm09hATGdwUX1mtCcBy01wHYGCK8Z/aWsGre09x+cKJ/e5760AVJxo7+PFls4N6Xd7ERkUwc3yy+0J8rWGUfB9LDZgQYszZUFJDTKSFhfmpXo+dlpNIY3t3yFYahO/au3po6rD26xA/LScpZDsh99t3QA5sQeFQkJFApEUFtgLnCMAyp5uPObNNKwqtvY4hcnB0ww9FHVhpXRvZSTEeU6vLJ6WTmxbnsifYQx+WMj4llnNnhCY17Mn83FR2VTRisw34P3HoVfjdbCjfNOzXFAgJwIQQY87GklqWFqb7tGowzanOSIRXVbMprHYuiC+y74Q8GYKi630nmoiONLsdXYmOtFCYmRDY/43qgxCbCgn21bycOdBeT0ddBU0dVp9qwDJC2AvMXQsKZxaL4spFuawvqeGEU0+wozWtvH+4huuX5RMZMfxhxPy8VFo6rRypcXpdWmvh+S+a1O+Tt0JrzbBfl78kABNCjCk1LZ0cONXMyimeU48ORTkmzTQcHdeFZ85NWB0cacBQNGTdf6qJ6TlJHoOIouzEwHqB1Rwy6UdHOsxeiN9cugPA5a7LgUI5D7K8rq13BqQnvT3Bth/vve2Rj0qJtCiuW5oX9OvyxYI8kw7uHcytNbz0dWhvgMvvNsHXM58Bm3/zLIebBGBCiDHlwyO1AKzyMQDLSowhJS4qZHVGwne9TViT+4KTacHoSO+C1pr9J5vd1n85FGUncqy2lU6rn7/Mqw+aAnyH7FkAdJ3YDXjvAQb0pimDnR7v6O7hVFOH1xUwMIO6l0/q6wnW0d3DE1squGDOOLKTvQeRoTA5M5HEmMi+OrA9T8O+5+HsH8CC62HdnVDyFrx3Z1iuz1cSgAkhxpQNJbUkxkQy18eiaaWUveO6rICFW6W9Q3yO0+pQekI0GQnRQU8RVzZ1Utfa5bYFhcPUnCRs2qTdfNZWB201ZgXMIS4VUvJQVaYQ36cUZGJoUpDHG9rR2v0OyIGuXJzL0ZpWtpXV8++dJ2hs7+bG5aHvfO+OxaKYl5tiGrI2n4KXvgm5S2HVV8wBi26G+TfAO7+A4jfDdp3eSAAmhBhTNpbUsnxSul+1KUU5SRyqDO3IG+FdVVMH0ZEWkuP6b9AvyknkUJADZG8F+A5TsxzNYP0IAAcW4DvkzCau7gDgWwAWHx1JfHRE0FOQ3nqADbRu7njioiJ4amsF//qojKnZiayYHN6+efPzUtl/spGe578M1k6Teoyw/79RCi7+jVl1fPp2aPR9sPhwkgBMCDFmnGxs52hNq8/1Xw7Tsu07IZtlJ2Q4VTaZJqwD24EUZSdRHOQA2TEDcuYEzwHY5KwELAr/6sAcQ7gzi/rfnjOb5NajxKju3gJ7bzISo6kNdgBW618AlhgTyUVzx/H01uPsLG/gphUFYW/ZMj83lct5h4ji1+C8/4HMqf0PiI6Hax6Enm548lNgDd1Q80BJACaEGDM2ljjqvzK9HNmfo+O61IGFV1VzZ7/0o8O0nESaO62cagreTsh9J5vITYsjOTbK43GxURHkp8f7F4DVHILIWEgd0CE+ZzYRuodF8dU+r9CaeZDBDR7K6tqIjbL4tArncNXiXLp6bMRHR3DFooneHxBii1Ka+VHkQ5xMWwLL7nB9UOZU+PgfoWITvPHj4b1AH0gAJoQYMzaU1JIWH8UMH5pcOnPshAxVx3XhG7MCNjgAm5od/AB5/8kmrwX4zs/v1/+NmkOQUQSWAW1QcuYAsCjmuIsHuRaKgdyOFhT+rGKtmJTBtJxErl+W7zVoDTmbjey3voFFae5N+6ZpdOvO7Ctg+efhw7/A3ueG7RJ9IQGYEGJM0FqzsaSWlVMysHgZPzRQVmIMqfGyEzLcqppcz0iclhPcodxtXVaO1rR6rf9yKMpJ5GhNK909Nt+ewDGEe6D0KXQRxayIcp+vNTMxOugrYOU+9AAbyGJR/OerZ/DDi2cG9VoCsvk+OPoeT2d+gberfPg6zv+pKdJ//ktQUxz66/ORBGBCiDGhrK6N4w3trPQz/Qj2nZDZSUFvdSB819ZlpbnT6nIFLCMxhvQg7oQ8eKoZrb0X4DsUZSfS3aMptddOedTdDg1l/VtQOEREckTlMdVW6vO1ZibGUNfaSc/Aru8B0lpTVtdGnp8BGJggLNy1X9SWwOs/gqnn0zzrBo7WtNLQ5iVAjYyGq++HiCh44ibo8uF1HAYSgAkhxoQNJf71/xqoKCeRQ5XNshMyTKqaBjdhdVaUnRi0FLGjAH+2lwL8vuc2KVCfWpXUHAa0ywBMa83enjwmdh3x+VozEqKxabwHGT6qbe2iravH7xWwEcHWA8993gRUl93Fgvw0AHZVNHp/bEouXHkvVO2Hl75hmreGmQRgQogxYUNJLdlJMW7HynhTlJ1IU4e1txu7GF6umrA6K8pJ5HCQdkLuP9lEUkwkuWlxPh0/Jdv8n/JpBc55CPcAje3d7OvJI7G7FlqqfXruvm74wQnAHKt4BT50wR9xNv4Jyj+Cdb+G5AnMzU1BKdwP5h5o6nlw5ndh56Ow7cGQXqovJAATQox6pv6rhlVTMgJOkchMyPCqdDGGyNm0nCSaO629zVqHYt+JJmaOT/b5/0p8dCQTU+N8G4dUcwiUBTKmDrqrqrmT/dq+M9LekNWbzMTgjiMq97MH2IhRtR/e+l+YeSnMvRqA5NgopmQlmoasvjrzOzDlHHj523ByZ2iu1UcSgAkhRr3DVS3UtHT53X7CWV8rCqkDC4cq+wpYlpsZiUXZwXl9bDbNgVPNXjvgD3r+HB9nQlYfhLRCiBwcSFY3d3LAZg/AKn0NwEy/sGAFYI4mrLlpoygA6+mGZz8LMclw8e/65mti+oHtKG/0fWXUEgGfuNfM5uxu9358CEkAJoQY9TYU1wD43YDVWWZiNGnxUdKKIkyqmjuJjbKQHBvp8v6+ViFDW6Esq2ujravH5wL83ufPTqSkusV7MXzNIdcF+JgArI5krHFZfgRgwU1BltW1kZMcQ2xUhPeDR4ot/zSrVZf8DhKz+t21IC+FmpZOTjT60SMuIRM+8xbkrwjyhfpHAjAhxKi3oaSWvPS4gHZ2OSilekcSieHn6AHmLi2Y2bsTcmgBsqMAf5aPBfgORdlJdFptVNR72EHXY4XaYo8BGGBWXyr3+PS8ybFRRFpUUFfARl36cdfjMG4uzLps0F3z81IBP+rAHMK9mxMJwIQQo1yPTfPhkVpWTQ48/ehQlJ3IYdkJGRaVTR0uu+A7m5qdOOQU5P6TTVhUX82fr6bm+DATsqEUerpcFuADVDV3EBtlIWL8HKg6YAI2LywWFdRxRGW1gbWgCJv6Uji+BWZ/wuXdM8YlEx1h8T8AGwEkABNCjGr7TjTR1GFl1dTA048O03KSZCeks4otcHzbsDxVVVMnWW4K8B2m5SRyuGpoOyH3nWhiSlai3ym4qdk+pEDdDeG2q242jWZVzhzo6YS6Ep+eO1jjiDq6ezjV1EFBemA7hcNi33Pm4+wrXN4dHWlh1oRkdkgAJoQQw2tDib3+a/LQAzBHndGoLMRvOgF3LYJDrwXvnP/+Gtx/CZzaHbxzuuHLClhRdhLNHUPbCbn/ZJPf9V9gUoHjkmM91wi6G8LtuLulk6zEGJOCBJ/TkBmJMUFZAauoN0Xn+Rm+td8YEfY+CxMWQfokt4csyEtl9/HGoDWrHS4SgAkhRrUNJbVMzU4k203/KH9MG61DubWGl75pVlRK1wfvnPVHobsVHrkOmiuDc14XWjqttHb1uG1B4TDUmZ0NbV2caOzwu/7L+fk97oSsOQSJORCX6vJuxwoYWdNBRfi1EzIYK2CjrgVF3RE4sd3t6pfD/LwU2rp6/BuYPgJIACaEGLW6rDY2H6sLuPv9QMEq9B52+56Dgy+bvzf4PubGo7Za6GqB+TdAex08dn3Itu1XeWnC6lA0xKHcjgL8QFbAAKZkmQDM5m6lxcMOSDA7PbOTYk2LisxpPgdgWYkxVLd0Drk20dGCYtTUgO191nz0FoDlpgIBFOKHmQRgQohRa1dFA21dPUELwMDU+gy11cGwaqszTSXHL4BJZ5ii5WBwnGfmpaZv0vFt8NwXQjLCxZFSzHYxiNuZo1WITyOBXNh/0jzO3x5gDkU5ibR19XCyyUXLA62h+pDbAvxOaw8Nbd19w8ZzZvscgGUkRtNltdHS6b1o35OyujbioiJMGnQ02Pss5C6D1DyPhxVmJJAcG8kOfxqyjgA+BWBKqQuVUgeVUsVKqe+5uP/bSqkd9j97lFI9Sql0pVSsUmqTUmqnUmqvUuonTo9JV0q9rpQ6bP+YFswvTAgROrsrGvnz28Vh3y24oaQWpWD5pOAFYNM8zYQcibsjX/uhCcIu+yOkT4H6Y8E5b4P9PGkFMPMSOO/HsPcZeOcXwTm/k6pmE9B4SyMrpSjKDrxVyL4TTWQmxphVKFeOvAN/XAzv/8bl3Y4VOJcrpC2V0NnodgWs1p5C7BeANZZDe4PX6w5WL7DSWtOCIuwDtX1RU2xqD72sfoHZKTo/L3XsrYAppSKAPwMXAbOA65VSs5yP0VrfqbVeoLVeAHwfeFdrXQd0AudorecDC4ALlVKOzmffA97UWhcBb9o/F0KMAne/V8Kdrx7k7YNVQTtnIH2ONpTUMGt8MmkJ0UG7jmk5bgq9X/0vuOcssAanIWZQlLwNOx6G1V+F8fNMsNReBx1NQz+3YwUstcB8XP01WPBJePcXsOvJoZ/fibdB3M7MTMjAWoWYAnwXq1/d7fDK9+DBj5s+XpvuNYOfBz63fSeky1qj3gJ81wGYY2dt7+pTzhz7Hfu8XneG/TFDLcQvrxtFLSj2PmM+zr7cp8Pn56Zy4FQzHd2DX7eRypcVsGVAsdb6iNa6C3gM+LiH468HHgXQhuN/apT9j+O75uPAA/a/PwBc7t+lCyHCwWbTbCypBeAXrxwIys6jV3afZMn/vsE97/m2LR/MlvptpQ1BTT+Ch5E3B1+Bkztg4x+D+nwB62qFf3/VzBw887vmtrRC8zEYdWANpRCfATEm6EApuOT3ULAanv8ilG8a+nPYVTZ1EB8dQWKM6y74zgJtFdJltVFc1TK4AP/4VvjbGfDRX2HZZ+GyP0HzSSjdMOgcaQnRZCZGu+4F5mEIN/Q1Yc1OdloBA5/SkMEYR6S1Hl1NWPc+C/krIXmCT4fPz0ulx6bZc7wxxBcWPL4EYBOBcqfPK+y3DaKUigcuBJ52ui1CKbUDqAJe11p/ZL8rR2t9EsD+MdvvqxdCDLsDp5qpa+3ivJnZHKps4emtFUM6X1uXlZ+9uI8Ii+L/XjnAa3tP+fS4raX1dPXYhjT/0RWXI29aa80Ow6gEePdXUHc0qM8ZkLf/nwmSLr0LouwpNcdqVTDqwOqP9Z3PITIarnnI/FJ87AZoKBv682AGcXvqgu/MsQrl79D0kuoWunpszHIU4Pd0w9v/B/edb4LZm56Ddb+COZ+AqHjY85TL85gaQRcpyJpDEJ0ESeNdPs4RgPWmIJMnQGyqT60oHKtm1UNIQda0dNHe3UN++ihoQVF1wKwMumm+6sr83BSAUdUPzJcAzNV3hLu3vJcC6+3pR3Og1j321GQusEwpNcefC1RK3aGU2qKU2lJdXe3PQ4UQIeDou/XTj89hfl4qv339EO1dgS/7//WdEk40dnD/p5Yyb2IKX31sB3tPeH8Xu7GklgiLYumk9ICf2xWXOyErNpuPl/4BLJGm6D2c9WDHt8KHf4HFn4LC1X23B3MFrL7UpDQHSsiAG54wqdhHrg1KurOyqaMvMPEi0KHp+513QFYfhPvOM+nUuVfB5zfAlLPNgdEJMONi2Pe8y3RzUXaS62aw1Qcha5rbETeOACwjwf51KmXSkD6sgDlS7ENJQTp2QOZnjIIVsL3PAgpmeUq29ZedHMuElFh2VoytFbAKwHkLQi5wws2x12FPPw6ktW4A3sGskAFUKqXGA9g/uiwm0Vrfo7VeorVekpWV5eoQIcQw2lBSy+TMBCakxvGDi2ZwqqmDf24IbEWorLaNv713hI8vmMDaoizuvXkJqfFR3P7Alt7WBO6vo4b5uSk+pa38VTRw5E3FJtO3acY6OPu/oPh18ws6HHq64YWvmH5T5/+k/31xaRCTPPRCfFsPNFb0BXQDZU2Da+43QcfTt7msl/JHtX0FzBeZidGkBjA0fd+JJmIiYUrJQybl2FAGVz8An7hncN+uOVdBez0ceXvQeYpyEml2lQL12oKig7T4KKIjnX7t5syGyn1gs3m89qgIC2nxUUNKQY6aHmBam/qvwjWQlOPXQ0dbIb4vAdhmoEgpNUkpFY0Jsl4YeJBSKgU4E3je6bYspVSq/e9xwHnAAfvdLwC32P9+i/PjhBAjU3ePjY+O1LLSXne1fHIG587I5q/vlFDf6n965Kcv7iPSovj+RTMB8y72vluW0NjezWce3OJ2Za2l08rOisagpx8dpuUkcbjSaZWjfBOMm2NWR5bdAePmwX++F5xid3+t/71JW138G4hN6X+fUiZtONQUZNMJsHUPTkE6m3IOrLsTDr9mdmIGSGtt74Lv2wqYUopp2Ul+pyCrKop5IvaXRLz2fZh8FnzhQ/cF3lPOMenB3YPTkFOzXKRAOxpN3ZiHAKza0QPMWc5s0+jWsePUA9MNP/AUZGmtCcBy04YQgD37edj2UOCP90XlXhPM+rD7caD5eamU1bV5ffM2UngNwLTWVuBLwKvAfuAJrfVepdTnlFKfczr0CuA1rXWr023jgbeVUrswgdzrWusX7ff9AjhfKXUYON/+uRjtbD2w/99e39Gdjjq6e3hjX6X7Jo6jwK6KBlq7elg9tS/w+e5FM2jttPKnt4v9Otc7B6t4Y38lXz6niHEpfb+YZk9I4ffXLmDX8Ua+9eROl/9em4/W0WPTQS/Ad5iWk0hzp5VTTR3m//TxbaYfEUBEpClGbz4Fb/88JM/vTGvNq3tPmc0O1YdMDdqsy02azJW0gqGnIB2Pd5WCdLb0Nlj+OZMO3fLPgJ6qpdNKW1ePzytgYAZju20V4oKu2s/PTn2eGbZDpmbu+sc8r65ERpv014GXoKtt0HMD/XuR1dj/77spwAf7GKKBQaZjJ6SPhfhDWQErq2tjXHKs3zMwe53YDjsfga33B3wNPtn7LCgLzLzM74eePT2bqAjFVx7bTqd15O+G9KkPmNb6Za31NK31FK31z+233a21vtvpmPu11tcNeNwurfVCrfU8rfUcrfVPne6r1Vqfq7Uusn+sQ4x+h1+Dx2+E/bKg6ayutYtP3vcRtz+4hWe2Hw/35QRsfbHpu+U8d3FaThJXLc7loY2lvWkOb7qsNn76731Mykzg02sKB93/sdnj+P5FM3hp90l+/8ahQfdvKKkhOtLCooLQtA+c2tvvqcUUA3e3Qt6yvgNyF8PS22HTPeYXUwh9dLSOzz60lf/sPgH//oopEL/oV+4fkFZoVsCGUqM2sAWFJx/7OUw6E974sUmP+qm3CasPLSgcpmUn0tRh7a2r8qi1htb7r6JLR/DmGU/B4lvc1mn1M/cq87ofeqXfzVmJMaTERfXfpFHjaEHhIQBrdhGAZc8AlI8B2NAGcpcPdQfkVnvTgpM7oDNEjYod6cdJZ0Ci/yVH08clcedV8/nwSB3feWrXiH+zK53wRXBV7TcfXSzdn65Ka1u58q8b2H28kczEaB7fHJydY+Hgru/W18+fhsUCv37toE/n+ef6oxypaeVHl84iJtL1O/LPrJ3MtUvyuOutYp4bELRuKKllcX5a4O/mvZjmPJTb0W4hd0n/g879b0jIMgOrh1gD5YmjFk1v+QeUbYQLfu559Sa1AKzt0DKEHm31xwAFKZ47kANmRXDZHSYN56J1gzeOdJHb5qguFPk6s9PaSdtD1xPVWsld2T/lgjNWez7eWcFqSBwHu5/ud7NpBjtgWkL1QbBEua2Z01pT5SoAi06A9Mk+7YQ0AdjQVsAC7gHW2WJ+pqcWgM3atykl2E7uNPMf/dj9ONDlCyfy7Qum8/yOEz7/PAoXCcBEcNUcNh8Pv2aKWE9zO8ob+MRfNlDf1sUjty/n9rWT2XysftQNjQVo73Lfd2t8ShyfXj2J53ec8NqHp7Kpg7vePMx5M7M5e7r77jNKKX52+RyWT0rnO0/tYssxs0he39rFvpNNIUs/gqm3yUiw93uq2AzxmZA2qf9BsSlw4f+ZFYHN94XsWoqrWhhHLedU/NmsNC34pOcHOIKAoRTiN5RCSq5JxfliytkQGWt6pfnJUczuSxNWB5+GcmtN93NfJv7UJv4n4st8+ebriLD40QHeEmFaUhS/Pqhb/aCh3DWHIGOKCUZdaOqw0mW1uR615ONIoszEaJo7rAE1Gu3o7uFUU0fgK2B7n4WuZlN3qCzBG/ju6nkskWb81RB84awp3LA8n7+8U8LDHwVpNFcISAAmgqvmkNmd1dMF+wbt1TitvL6vkuvu2Uh8TARPf34VSwrTuXJRLpEWNSpXwbaU1pm+W1NdF75/7qwppMVH8YtXDri83+EXrxygu0fzw4tneTwOIDrSwt03LmZCaiyffWgr5XVtfHS0Fq1h1dTQBWBgfskeqmo2AVjeMtdpq9mfgCnnwps/M4Xr/rD1mHf8FVs9/tEVW/h/UX9H2Xpov/C33tNnjrqtodSB1Zf6ln50iE4whe0HX/I79VnpWAHzowbMkQb0tAKm3/8tUXse53fWq7j0k1/0a4Wt15yrzM+y/f/ud/PU7CTqWrv62kJ42QE5qAeYs5w5pq+cl7Rebzf8ADa7VNSb0oCCQFtQbHvApFenngfj5we00umVI/04+SyIH1prGaUUP71sNufMyOa/n9vDm/srg3ONQSYBmAgerc0K2IxLTHfu3cEdVzKaPLTxGJ99aAvTcpJ45vOrmWLfOZWVFMN5M3N4ettxuqyja6PC+uJaIi2KZYWufzgmx0bxpXOK+KC4hvcOue7Zt+VYHc9uP85nzphEYWaCT8+blhDN329dSnePjdse2MxreyuJj45gXm5qoF+KT6blJFFdedKMpsld6vogpeDiX5sdg//5vm8n1hoOvw53rzHtEO47x+Ofn1V/lXMidvAb69XsaPGh5i0133wcyk7IBjc9wDyZfpFp7eDDaB1nlU2dJPjYBd9BKcW0nET3Q7n3vYB666c837MKy5nfDXy37MRFZuVzQFPW3mawVS2mV1jdUc8F+APHEDnLmQ1oqPb8xiVzCOOIHD3AAkpBVu41b0IctXMFq6FiC3QHeafhiW3m/88Q0o/OIiMs/PH6hcyekMKXHtk+IttTSAAmgscxjDZrOsy9Go594P+qwChns2l+8coB/vv5vZw9PZvH7lgx6F3vtcvyqGvt4o0R+q7MnY0lNSzMTyXBwy/KG1fkk5sWxy9eOTCoALbHpvnR83sZnxLLF8+e6tdzT8lK5K83LuZIdSvPbD/O0sJ0oiJC++OrKDuRom77L0V3ARiYGp4zvgX7njOBlScntsODl8HDV4G1w4y9ueFJt39ar3qUW7u+zb9m38N9PevYVuZDWj8qztQuBZqC7O4wLRX8WQEDmGZv8XjgZb8eVtnc4dcOSIep9qHcg3ZCntiO7ZnPsF0X8Vz+D/jSuUV+n7uXUqYY/+h70Nz3/TrVOQCrKwHd47EA3zFs3PUKmGMkkec6sKGMIyqrHUIPsK0PQEQ0zLPvsStYBT2dJmAKpj3PmDq6GeuCdsqEmEj+fusSMhKjue2BzT5vEhouEoCJ4HHMQsucZpbu0bDnaY8PGUs6rT187fEd3P1uCZ9cns/fblpMfPTgYOWMoiwmpMTy6KahpyEf31zmd0fwQDS2d7P7uPe+WzGREXz7gunsO9nE8zv7F84/trmMfSeb+MG6mS7/XbxZPTWTn37cbNtfWxSa/l/OinKSWGQ5jFYRZiXEk1VfMf/vX/rmoLYFgAmGnrrNDPOu3AsX3Qlf+AgW3QTTPub2z4GklbxjW8i42WdRlJ3E1lIf6yqH0oqisbzvHP5IGgcTl8BB/wKw6qZOv3ZAOkzLSaSxvZtq54Ck6QS2R66juieJ70V9j19dt8y/ui9X5lwF2mYCbLvxKbEkREdQXNnsNITbfaDXOwfSVRo0tQCiE73WgTlWwALZCVlW105cVERvEOez7nbY9ZipyUqwp/zzV5qPwawDs9lg73Mw9VzTTDiIspNiuf9Ty+ju0dzyz00B9SsMFQnARPA4B2CZU2HCwtMmDdnY1s3Nf9/ECztP8J0Lp/O/l88h0s0KTYRFcfWSPD4orhnSO7LNx+r47tO7+dHz3ndQDdWHR2qxaXwqfL903gTmTkzh168e6i0Ybmjr4tevHmT5pHQumed6Vp4vbliez9OfX8WNK/wMDgIwLSeJheowtYlFpsbJk8gYuOR3Juh5786+29vqTGryj0tMT6m134Kv7IDld/hU4F5iL/Semp3I4oI0tpbW+7a13tGKIhCOlTN/V8DApCFPbIOmkz4/JNAVsGk5Tq1CALpa0Y9eR1dbI7d2fpOf3HC2z+ONPMqeYeq0nHZ2K6WYMT6ZN/ZX0XrCnnL1FIC1dBIdYSE5zsUbD4sFsmf5EYAFloLMT4/3adZmP/teMLtbF9/ad1t8OmTPDm4d2PEt0FQRUPNVX0zNTuTem5dQUd/OZx7cEtBGhlCQAEwET81hM6zYMb1+7jWmyLh6cB+nseREQztX3b2BbWX1/OG6BXzhrKlef9BdvSQXgCcDHGStteaX9mL3D4/Ued15OFQbimuIi4pgYb73d6cWi+J7F83geEM7D200QcBvXjtEY3s3/3PZbP9/CQywuCB07SecpcdFsDCihENRM3x7QOEamH8DbLjLpBo/+B38YQF8dDcsuB6+ss20rohN9vkaiqtbiI60kJcez6KCNBrbuzlS48MO2tQC8wstgL5cvQFYWiHvHapma6kfLRodzWEP+bYbsrcLfgABmKMO61Bls1lBeeYO9MndfL7jS1x83nmsmBzETRpzrjTjqJzSuj+8eCa1rZ1s2fIRtpQ8j0F6dZNpQeH2/37ObJOC9LCBIS46goToCGqa/V/BKQ+0BcXW+02KvXBt/9sLVkHZR9Bj9f+crux5BiJiYHrw0o8DLZuUzm+vmc+W0nq++YTrBs/DTQIwETw1h8y7QMcPmTmfANSgAlZ/2Gyam/+xiRd3jcxastLaVq6+eyOnGjt44NPL+PiCiT49LjctnrVFWTy5pdx0OPfTWweq2FJaz/cumkFCdAR//yCwWYy+Wl9Sy9JJ6f3n2HmwemomZ0zL4k9vF7OxpJaHPyrlphUFZhDyaFG1nwQ62NQ9xffHfOx/ISYJ7jkb3vgfKFhpBj1f9se+NyZ+KK5qYXJmAhEWxRJ701mf0pBpBSZt5kgn+qOhFCJieHhfBzf/YxM3/30TpbWt3h8HkDXDrL752I6iqcNKR7eb9gzenirJqSHqWz+FAy/yfz03Yp1yPl84y78aQ6/mXGk+OpVULMxP40/XLyKj/Rh7Osdh7XG/qaa6pZNMT19jzmyz0tTkuUlzRmIMta3+rYBprSmra/N/B2T1ISjbAItuHrzztmCVaVJ7cqd/53TFZk/vFp3v15uTQFwybwI/WGcaPP/fK/tD+ly+kABMBE/N4f5bsZPGmY7Gu54IuCv3gVPNvHeomie2BLZSFErFVS1c87eNtHVZefSOFX7vtLp+aR4nGzvc7hh0p8em+dV/DjIpM4Hb1kzi2qX5/HvnCU41hmb+WVVTB8VVLaz2s+/W9y6cQVNHN7f8cxOp8dF843z3RcojUoVpwPpaU4HPI29IyDDB1pRz4JYX4YbHIXtmwJdQXNXCFPtKz6TMBNLio9hyzJcArNB8DKQQv76Uhpjx/Ndz+1hblEmERfGVx3bQ7SHA6KUUTL8YjrzrU7f06mb/W1D0PZVpiDrh2DPwwe94IfICXoi9jN9duwDLUOu+BkorMKOoBjRlPW9GFjMiT7G5JZMfPrfH7f8TMwfSUwDm20iiQMYRVbd00t7d438B/rYHTE8uV33nClaZj8GoAyv/0Gz6CFH6caDPrJ3MLSsLuPf9ozyzLby/VyQAE8HR1WrebQ/shTP3aqg/ambpBWB9cQ0Am47Wjpi8PcD+k01c+7eN9NjgsTtWMmdiivcHDXDuzBwyEqJ5zM+eYM/vOM7Byma++bFpREVY+NTqQmxa88DGY35fgy82lNQC+B1gzpqQzBULJ9JltfHtC6aTEh8VissLnfLNdESlsa8zg5P+BLczL4WbnoFJa70f60FHdw/l9W29qTallKkD82UnpKN+K4A6sKryQ+xoTuGiOeP4+y1L+cWV89hZ3sDvXvexlGD6RWaXXMlbXg91jCHydRD3QMtTm/hs4x84GL+Ib7V+kruuX9RbKxV0c6+Cqr190z4AGsuJtHWQN20Bj20u5643Xc9DdTmGyFmOvSeel52QgQzkdtSZ+hWAWTthxyMmJZjoolly0jhInxKcOrA9z5gmvo5dtCGmlOJHl87mm+dP47xZHiZKDAMJwERw1Np/8AwsRJ11mcntB1iMv76kBouCjm6bb1vwh8Guigauu+dDoiIsPP7ZFUwflxTQeaIjLVy5OJc391f1blP3ptPaw29eO8TciSmsm2OK2fPS47lwzjge/rCU1s4g1WQ4WV9cQ0pcFLMm+J8e+PEls/ntNfO5ZokPI21aawK4uhCq2Ex7ziJADctO04GOVLeidV/LA4BFBWkcqW6lzttOruQJZku/Hzshtdb85rWDxDSXEZlRyB+vX0h0pIV1c8dz7ZI8/vpuCRtKfHiN8ldCbKpPuyEdTVgDqQEDONv6AVH0cGvdp/jqx2azPJh1XwPNvsJ0gXces2af/HH+GWu5clEuv3vjEE9s7p/27e6xUdva5boHmENsCqTk+1SI7+8KWEA9wA68CO11pveXO4WrTYrSNoR+hrYe2Pc8FH0MYhK9Hx8kERbFl88tIjk2vG8KJQATweEYQTRwBSw2xWyp3/O03/Pyuqw2Nh2t4/KFE4mwKD44HP5f0FuO1fHJez8iKTaSJz+3srfBaqCuXZqH1aZ5eqtvA7of+aiM4w3tfOfC6f3SLLetmUxTh5WnAizqd0drzYaSWlZOzghoO39KfBSfWJTr/bHHt8KdU/zuIRUybXVQe5jYScsBwjI6qri6bwekw5IC0wR3u7c3I5YISM3zOQWptebnL+3ngbd2kqLaWLVkSb9dvD++bBaTMhL4xuM7vW/jj4iEaRfAoVe9FmkHMojb2fSGd9lhm8K0aTP4/Jl+1OoFIjHblFTseaqvpMI+hFtlzeAXV85lbVEm3392N28f7JvD6Vix8vo1+jCSKCsxmrrWLr/qRstq21EKctPifH4MWx8wAeHkc9wfU7Da1K352Xi3n9L10Fplrxc+/UgAJoKj5pB5d5g+efB9c68232RH3/XrlDvKG2jr6uFjs8axMC+1Nx0ZLhuKa7jp75vISorhyc+tDHywrZMpWYksK0zn8c1lXuuMWjqt/OmtYlZPzWBtUVa/+xYXpLEwP5V/rD8aUFG/O2V1bRxvaGd1iMf+UGxPV731s6G9ow6Wii0AxE1eSWZidFhWwIqrWrAoU/vlMC83hUiLYosvhfipBT6lIG02zX8/v4f7PjjKFxaYNgmW9P4tKOKjI7nr+oXUtnby3ad3ea+Jm36RWUEp/8jjYZVNHSTFRAbUF47G4yTV7qJj6jp+H4q6L1fmXm2CWkdJRfVBiEuHhAyiIiz89cbFzBiXxBcf3sauigZziKcu+M5yZps3sq76yNllJMZg01Df5kMasrMFXvw61uPbGZcc6/vO4boj5mf1optNiwx3euvAhpCG3P0URMVD0QWBn2MUkwBMBEfNIfMDP8pFKqHoAohJ7r9074P1xSb9uHJyBmuKMtl1vJEGX37whMDbB6q49f7N5KfH8/hnVzI+xY93k15cuzSPY7VtfHTU83b/+94/Qm1rF9+5wHVbhNvXTKa0ti2oHfbXF5v6r5WBjnLxVel60227ah/seza0z+WLik3mDcWERRTZO64Pt5KqFvLT44mJ7PvFGRsVweyJKT7uhCz0ugLWY9N85+ld/OvDMj535hQ+O8/+XC56gM2ZmMJ3LpjBa/sqecRbE+Gp55nX00sasro5sCasgOmrBqxYdwtpCX42GA3UjEvM1+XY2V1zqN8IosSYSP5561LS4qP59P2bKatto7rFQxd8Z/krTEd9++YPV/zqBVb8Omz5B58/9hU+llDi/XiHbQ+a//sLvQx9T82HlDwo/cD3czvrajX1X7Muh+ihv5kdjSQAE8FR7WEYbVQszLzMNPXrbvf5lOuLa5g7MYWU+CjWTM1Ea9hoLwgfks4WaG/w+fD/7DnJHQ9tYVpOIo+6GC00VOvmjicpNpLHPPxSq2np5N73jrBu7jjm56W6POaC2TlMTI3j7+8HryXF+pIacpJjmJLl29zGgPRYoXyTecedNRPe+YXf6eqgq9hsViRiEu0zB12MvAmxw1XN/dKPDksK0thZ3uB9V2JagVmF6nS9etfdY+Orj23nqa0VfP28aXz3wumohrK+x7pw25pJrC3K5Gcv7uOwp1XBmCTTO+rgyx53QAfaAwyAA/824388NEANurhUU6/kKKlwMYQ7OzmWBz69DKvNdF4/cMr8O3n9uZG3HFQEHH3f7SEZ9k72PhXiH30fohKo1On8sP6/4NBr3h/T0w3bHzZvmn1pm1KwyqyABfK9sfc56Go23/enKQnAxNDZekwRfpabAAzMDqKuZjjsww8BoLXTyo7yBlZPNSsv8/NSSYyJ5P1gpCGf/wLce45PTSqf33GcLz6ynbkTU3j49hWkh+Cddlx0BJcvmMjLe07R2Ob6mv78djEdVhvf/Jj7Vg6R9h2Rm47VBWXwrM2m2VhSy+opmUNunurRqZ2mp1DhGjj7++aXmp+rpUFl64GKrabtAGYkUUunlRMhavPhirXHxtGa1t4WFM4WF6TRabWx90ST55N42AnZae3hCw9v48VdJ/n+RTP46nlF5jWuL4WYFLfjYCwWxW+umU9CdCRffnS7553JM9aZdJZjQoYLlc0dAfUAo60Ojq2HmZf4/9ihmnOlmXu773loq3U5hHtqdiL33byEEw3t/OY18/V7DcBik2HCAjND1w2/VsCOvU9P3gqu7Phv6hMmw2PXex8Nd+g/plzEU/G9s4JV0FrdtwnLH9sehIwis/J3mpIATAxdQ5nZdu5uBQxM8WpCtukJ5oNNR+uw2nRvABYVYWHF5PSh14HZeqDkHTNAd/u/PB766t5TfO3xHSwtTOOh25aTEhe6HTPXLs2jy2rjuR2Di/HL69p4+MMyrlmS67Xo/9qleSTGRAalMevBymbqWrtYNTXU6Ud7DUn+KphxKeTMhXd/Ebwu2/6qPmDeLNgHcPeNvBm+OrCyuja6ezRTXbzei31tyOqhF9iXH9nO6/sq+clls/msc/F6/TFIy/d42uykWO68eh4HTjXzy/8ccH/gtIvMRzdpSNMFvzOwFbBD/zHpuhlhCMCmXWhmN777S/O5myHcSwrT+cN1C7FpTUpcVL9UsluFa82GlC7XjW8ddWSOujK3mk9BzSHqc5ZTRzKbznjAvKF46jbT3d6drQ9A0gSYer73awUoWGM++tsPrPqg6f/lqsnraUQCMDF07nZAOrNEmHeOh1/zKf33QXEN0ZGW3l82AGumZlJa2za0ifaVe6GzESLjzMy+bverGn97t4TJmQn889ZlJMQEUCTshzkTU5gzMZlHNw0uxv/dG4dQCr56rod/X7uk2CiuW5rHS7tPcqLB93SvK45g15f5j0NSusH0FErKMUW/Z//ArJzsfDS0z+tOub0GJ8++AmZfhTo8jHVgxVWDd0A65CTHMjE1jm2+BmADWlHsPdHIa/sq+cb507hlVWH/xzSU9j3Og3Nm5HDrqkL+uf4Ybx+ocn1QykQYv8DtztamditdVltATVjZ/29IzjXzZodbdLzpj1VtDz49pEAvnDOO31w9n9vWTPLt3IVrwdbtdvNCclwkURGKWm87Ue2raEcTzRD5CeNy4ManTW3ev78K6+8a/JiGMih+AxbeaHay+iJjinlj7W8h/rYHTZPX+df797gxRgIwMXTOQ7g9mXc19HSZH55erC+uYWlh/5l/a4rMSswHQ1kFc/yguPg3ZuyHm3eD5XVtbCtr4KrFecRFh37uIMB1S/M5cKqZXRV9cx0PnGri2e3HuXV1IeNSfPtFdevqQgDu33BsSNezoaSWSZkJTEgN3oaDQWw285o4dlSB2UE3YSG89yuwhmHTRcUWiM/o3dGblhBNZmLMsO6EdLSgcJWCBFhSmMaW0jrPdWlxaWbzy4AU5OOby4mOtHDzygF1XlqbX8I+DuH+3kUzmDEuiW89udN9H7vp60w9XcvgIK2y2dEDzM8UZFerafI64+LwrZ7Mvcp8jIo3hegefGJRLl8518c6tfwVpg7MTRpSKUVGQgw13lbAjr4HMcnstRWa06bHm8DxukdMP7PX/xve/Fn/2i1HRmDRTb5dq7mgvjowX1m7zJur6esgMcv78WOYBGCnubYuKxX1Q1hRAhOAxWdAfLrn4yYsMr/UvDRlrWnp5MCp5kGd16dkJTIuOXZo/cBKPzC/YBbcYN5tvv9rl8v9L+w0sycvnT8+8Ofy02ULJhAbZeExp0aOv371IEkxkX71OMpNi+eiOeN49KMyWgJszNrdY+OjI7WhX/2q3g8dDaankINScPZ/mWBgh+c0cUhUbDLpR6df7tNyEjk0jL3AiqtayEmOcdsocnFBGpVNnRz3tMqplL0VxbHemzq6e3h2+3EumjOO1PgB9YwtlWDt8GkFDMyOzLuuX0hLp9X9cOPpFwHa9AQbIOAmrMVvmOsMR/2Xw+SzTYCbMdVzqwZ/xSTCxEVeC/G91oAdex8KVlHa0EV8dAQZjtrVyGi48u8m9ff+r+Hlb5s3QbYeE4BNOcfsbvRHwWozBaXBy85Yh4Mvm9q507j43kECsNPcD5/bw+V/Xj+0HV4DZ0C6o5Tpo3P0PWg66fYwx+ibNQNqj5RSrJ6ayfqSmsAm2WttX21Zba7lnB+aAtJN9ww69IUdJ1hSkEZu2vBtj06OjeLiuRN4YcdxWjutbD5Wxxv7q/jcWVMG/7L04va1k2nutA7qyu2rXRUNtHb19NbghYzjnbPzChiYVEnuMnjv1x7TxEHXVmfeUOQu6XfztJwkiiubh20nZElVC0XZ7icsLMr3tQ6soF8K8pU9J2nusHLdUhe/ZB0rZT6ugIH5d/nhJbN4/3AN/1jvou5w3FyzQuSiDqy3Cau/Rfj7XzS9t/JXeT82VCKj4dK7zBuFYCtcAye2uZ2lmZkY4zkF2XjcpPAL11Je10Z+enz/TTSWCHPtK78Em++F5z5nauqajsPiW/2/Xsf37jEf68C2PQjJE02wd5qTAOw0VtXUwb93nqCmpYsaP+eL9VNzyPet4HOvBjTsfcbtIRuKa0iOjXQ5X3FNUQYNbd3ed4C5u8622r4fGPkrTLHpB783HZ3tDpxq4mBlMx9f4MM27CC7flkerV09vLTrJL985QDZSTF8apWP9SNOFuSlsqQgLeDGrBvs/b9WhHK0C5gALHni4HfdSsE5/2V+KWx7MLTX4Oz4VvPRvgPSoSgnkdaunmHZCam1pqS61WX9l8OMcUkkREf4VgdWX9qbanp0UzmFGfGsmOxitdoRqLlpQeHOjcvzOXt6Fn948zCd1gG7IpUyq2Albw9qMOpIW2Yn+bECZu0yq2nT1/lepxQqsy6D6SGYX1i4FmxWt3VgmYleUpDH7Ktnk9ZSVtfmumG0UvCx/zVvQnc9Dk992tRyTb/I/+vNnmVGT/lSiN9QbtLHC280geBpTgKw09jDH5XR3WN+MJfWut5141VbHbTV+LYCBiZQG7/AYxryg+IaVrgZfeNYkQmoDszxA6LQKd11zn+ZFNjGv/Te9PyOE0RYFOvmDl/60WFxQRpTshL4xX8OsKW0nq+eVxRwDdrtaydRUd/Oa3tP+f3Y9SU1zBqfHJK2G716VyRXua7lmXSm2WX1/m/86h83JOX2BqwTF/e72bEaNRx1YKeaOmjptLqt/wLTcmRBfqr3jvipBWBth5YqjlS3sOloHdcszXPdVsSRqvQzBaWU4uZVhTR3WF2XB0xfZ67hyDv9bq5q6iQ5NtK//9/H3jebaMKZfgy1vOWmQP2Y6zRkZmI0Na1d7ldjj74PsanonDmU2VfAXFIKzvg2XHSnSekuuhkiAtjpbbH4Xge242HzcYGXJq+nCQnATlOd1h4e/qis9132sdoA68B82QE50Nyr4cR2qBncO6asto2K+vbegvuBspNimZ6TxAfF1f5fa+kGSBoPaU4rShMWwsxLYeOfoa0Om03zwo4TrC3KJMPb6JAQUEpx3dJ86lq7mJSZ4NsQazfOnzWOvPQ47vOzJUV7Vw/bShtCP36o7gi0nBqcfnRQyuyIbDkFm/8e2mtxqNgM2bMHDQaeluPYCRn6AKx3B6SXliOL89PYf7LJ8wB2x2pWQymPbyknwqK4anGu62PrSyFxHET5v+li9ZRMUuKieGmXi9KCgtVmM8CANGRATVgPvAhRCaYGa6yKSTT1sm4K8TMTY+iy2mhqt9LY3k1FfRv7Tzax6Wgdb+6vpPXQ25QlL+R3b5bQ0W2jIMNLGcXyO+DL2+Cs7wd+zQWrTGufZg9v9nrrzM72e5V1rJIA7DT18u6T1LR08oN1M4iwKI7VBLgC1rsD0o9u1HM+ASiXq2Af9LY+cF97tKYok83H6j03gRxIa1Oj4Gq15ez/gq4WWP8HtpXVc7yhPSzpR4crF+cyOTOBH148k6iIwL9FIyyKT6+exNbSerZ5G97sZEtpHV09tuHr/+VcgD9Q4WqYfBZ88Du3NTFBY7OZFOSA+i+A1PhospJihmUkkaPdhacUJMCigjRsGs9Nd+0F9daaIzy9tYJzZ2S7T/k1lAb8izE60sIFs3N4fV/l4O/LyGgoOt/UGTlNOKhs6vBvDJHNZlpaFJ3neuTZWDJprZk36WKKgaOh6/yfvsb8n7zGml++zUV/eJ9r/raRHz/4Cgltx/nH8TzuevMwSTGRvfWCHmVMGVpK15e5kEfeNsX6UnzfSwKw05DWmn+uP8aUrATOnp5NblocxwJNQdYcNLPR/CjcJXmC+QGz+8lBIyzWl9QwLjnW4+ibNVMz6bLa2HzM8+zEfuqPQfMJ16st2TPNqtxHf+OtLbuJjbJw/qxxvp87yNITonnrW2dx7sycIZ/r6iV5JMX615h1Q0ktkRbFskIvu1qHqmyj2T3rbfX07B+aNPfme0N7PdUHoLOpt//XQNNyEjlwKoDaQz8VV7eQEhdFZqLn9O/C/DSUwnMa0p5OPFK8j5qWLq5b5mFFtb7Uv+/jAdbNHU9zp5X33aUhW6v7auwwRfg5/tR/Hd9iVkNnXBrwNY4ahWtMo9mywXVgZ0/P5otnT+Er5xbxw4tn8ssr5/LXTy7iX7ct55HzTC3vV2//NAf/90J2/+QCl7W0QTduvlmZ9BSAbXvQfL9PXxf66xklJAA7DW0vb2BXRSO3ripEKUVBRgKlQ0lBZkz1v6By7tVmyfrEtt6bHKNvVk3N8Dj6ZtmkdKIilH91YN5WW876Hrqni7y9d3PezBwSQ9x4dbgkxkRyw7J8Xtl90ucGthuKa1iQlxry5rOUrof8ld57OeUtNfP31v8BOkIYADmGIOe6DsBWTclkz/GmwFeLfVRc1cLU7ESv459S4qKYlp3keSdkVBwkjuPUsQOMS47lzGnZro/r6YamiiGlhlZPdaQhTwy+c+p5pq7JnobUWtsHcfsRgO3/N1iiYNrHAr7GUSNvuflaXdSBpcRH8e0LZvCN86dx+9rJXLs0n4vmjmdNUSb5jVshPoO0gvm+dd4PlohIyF/uPgBrqTarl/Oug8jhL+0YqSQAOw3dv/4YSTGRfGKRqQUpzIjnWE1rYFvsXQyj9cnMyyAiBnY+3nvT/lNN1LV2sdpD+hEgISaShflp/vUDK91gtq67GRtCxhROTfoEn7C9xjXTxta3xS2rCrEoxecf3spvXz/EG/sqe3swDdTY3s3u442hTz82Hjerkp7Sj87O+j6018NHd4fumio223s7ue65dvXiXCIsql+ftlAoqWrxWv/lsKggjW1l9R7bsnQm5RHVXM41S3JdbmwBTGpI24a0AhYVYeHC2eNcpyHjUs1rbe+K39DWTVePzfcmrFqbAGzSGRA7DCs64RadYDaCuCnEd0lrc3zhmuD2JvNVwSqo2ms2Zg206zHT4d+fJq+ngbH1m0Z4VdnUwcu7T3LN0rzeFY7CjASaO63UeRtvMZC10/wSDSQAi0s1W553P9nb7dzR+sCX3lNrp2ay90ST79dcaq//8vCD6V7L1SgFq48PU8H3MJmQGsd/XzKLLquNP711mNsf3MLy//cmy37+Brfdv5nfv3GItw5UUtXcwYdHarFpWB3qBqxlG81HdwX4A01cBNMvhg1/MoFYKJRvHtSA1Vl2ciznzMjmqa3ldFltIbmE+tYualu7vNZ/OSwpSKO5w8phD01ij1gzyFNVXO1pQ4ejB5iPTVjduXjeeFq7enj3kItNMtPXmZKF2pLeLvg+t6Co2gf1R8f27seBCtfAiR2+r/rWHTFtWwrXhvSy3HLMhXR8bztoDdseMivL2TOH/7pGMAnATjMPf1hKj9b9xpAUZppdMn7XgdUdMe+aAwnAwHSjb68z8yExBfhTshJ8Grmz2r5L0qfh3E0nzA9vD6st7V09PH5IsyXjMiJ2PAy1Jb59DaPELasKee3rZ7LnJxfw1OdW8qNLZpnZmnVt/OHNw3z6/i0s+/mbfPnR7cRGmRYHIVW6HqKTTKNOX539A9OCwKllSNC015vgwE360eGGZfnUtHTx5v7K4F8DfSOIfA3AvA3m7rFpPqxLYoKqIy/FQ4uBAHuADbRySgZp8W52Qzp6TB18ubcJq88rYPtfBJQJwk8Xk9aaOjA3/cAG6e3/dUborsmTiYtMVmNgGrJ8k/nekuL7QSQAO404Wk+cOyObgoy+IvdC+9+P1fhZBxbIDkhnU841zf92PkqX1camo3WDut+7M29iCkmxkb4FYO66rTt580AlrV09RJ31bbOp4N1f+XQdo018dCRLCtP59JpJ/PbaBbzxjTPZ/T8X8MRnV/LDi2dyzYxofrQ6IfT1I6UbTCNcf2oHx82BWZfDh3+F1trgXk+FvTg8b6nHw86YlsWElFgeDVEa0tMQblcKMuLJSIh2G4C9f7iafR1pWLCZNKM79aWmRit5ot/X7CwqwsKFc8bxxn4Xaci0AsiZAwdfocrfMUQH/m02RyQNfWPKqJG7zNSBHX3Pt+OPvg+JOYG/IR6qyBizgjywIeu2ByE60cygFP1IAHYaeXHnSWpbu7h1QGf13LR4LCqAZqyOACxjamAXFBEJ866BQ6+y5/AR2rt7fK49ioywsHJyBu8frvFeu+bDasvzO06QkxzDotkzYdlnTHfoqgP+fDWjVmJMJMsmpXP72sn8b+evuGHPZ0x6OVRaa82Ow4KV/j/2rO9Ddxs8fKXHcVZ+q9gEqEENWAeKsCiuXpLH+4erfd7U4I/iqhbioiKY6OMAdKVUbx2YK49vLqc+xh5UDRjK3U9DKaTkBqU7+cVzJ9DW1cM7BwcP4GbmZVC6nvTDpgVNli9jiOqPwandMOM0Sj+CGZ6du9RtP7B+nOu/wjWgHMyb3JM7+9pndDSZqSdzrhzUW09IAHba0Fpz/4ZjTM1OHNRgMzrSwsS0OI76uxOy5jAk5w7tG2v+9WDrpmHTo1iUf6Nv1hZlcryh3fsOTi+rLY1t3bx7sJpL500wRcqrv2besb3z//z4QsaAii1Q/qHZ6r/rce/HB6q3/svHAnxn2TPgukfM/717zzE/7IOhYrMZqRLjfv6iwzVLTS3VE1uCvwpWXNXC5KwELO6K5V1YUpDG0ZrWQQOaa1o6eX1fJfPnzDM3OA3lHmSILSicrZicTnpCNC+6SkOu/ipMPpuzD/6UG+I2EhvlQ8B34CXz8XSq/3IoXAMnd/QbleZSzWEzTD1c9V8OBatMWYojbbrnafOGadEt4b2uEUoCsNPEtrJ6dh/vaz0xUGFGQmArYIGmHx3GzYFx8ygof565uamkxPk+CsNRrP++pzRka419tcV9+vE/e0/S1WPj4wvsKwUJGbDyC7Dv+eD9gh8NNv7ZdCzPngUb/mgaX4ZC6QaIjDVTCAIx/UL49KtmZNA/LrTXBw2BzWZSkF7Sjw4TU+M4a1oWT2wpx9oT3H8jRwsKfzjqwAbOhXx6awVWm+aiVYtMKqvBwwpY/bEhF+A7RNrTkG/ur6K9a0AaMioWrnuEQ7Hz+Zn+M+x+yvsJ979ophOkTw7K9Y0qhWtMQFP2oefjjtnTlOGq/3LIW2Yfo2RPQ2570Pw8mbgovNc1QkkAdpr45/pjJMdG8olFrms8CjMSOOpPKwqtzbuuINQbdM65jinWw1w23su7vAEmZSYwMTWO9Z7aUfiw2vL8jhNMzkxgzsTkvhtXfMEMmH3rf/26plGrodwEnItuhjXfMMH1of+E5rlK15vUylD6AY2bA595y+yqevxG0yk/kDYqYAqEOxu9FuA7u25ZPpVNnbxzMICRWG60dVk53tDucwsKhzkTU4iOsLDVKQ2ptebxzeUsKUhj6rhUSM1zvwLW2WIa3QZxPMwlc8fT3u0mDRkdz48Tf8ThmNnwzB2w9zn3J2qpNt/Dp+PqF5iAJiLaezuKo+9D0oTwB6nRCeaNVekGOLXH9HlcdHN406IjmARgp4GTje28sucU1y3LJz7adXPNgox4mjus1Ld1+3bS5pNmfM9QV8CATYnn0K0juND6ll+PU0qxemoGG0pq6HHXB6l0A0TGuV1tqWzqYOORWi5bMKH/ymBcKqz9htmhuecZv65rVNp0D6Bh+Wdh9uWQkg8b7gr+83Q0waldvref8CQpB259yRT3vvE/8PwXe1ua+KXc3oDVTQd8V86ZkU1WUgyPbS7z//ncKKkyK9D+roDFRkUwZ2IyW4/1BWCbj9VzpKaV65bZB2unFrivAWso6zsmSJZNSiczMZoXd7uu06toUTxYeKcZ+/T0bX1pxoEOvgxoM6/1dBQVZ96sHPUQgGlt6sQmrR0ZgU7BKjPxYNM9Jnicd224r2jEkgDsNPDwh2VorblphfsfsJMy7TshfU1D9u6AHPoK2DsVmvf0AiaU/Rt6PAwWdmFNURZNHVZ2H3ezenbsA5NainQ91uXfO0+gNVw238XsxxVfNENxX/omNIem7cCI0NkCWx8wBdKp+RARZVKwZRtNb6xgqthkUir5ARTguxIVB1f9A878Hux4GB663L8dkj1Ws7oQmwrprhuwunzaCAtXL87lrQNVnGxs9/uyXSmuNoXL/gZgYNKQu4430mk1Kb/HNpWRFBPJurn2kVppBe5TkL0tKAr9fl53HGnIt/ZX0dbV/3vaZtNUNXeQmpYGn3wKxs+HJ26BQ68OPtGBF01gmDMnaNc26hSuNW9a2htc31+136xghrv+y6FgtWm6uu1BEzjHh3ik2SgmAdgY19HdwyObyjhvZg556fFujyvobUXhYwBWHbwAbH1xDbuy1qFaTsGRd/x67Cp7w1CX7Sg6Gs3uKQ/pxxd2nmDuxBQmu0r7RETCFX8zRaQvfi3wFNdIt+MRk4Jb+cW+2xbeZIKSDX8I7nOVbjA1In6sNnmlFJz9fbjy72YjwX3nQPVB18f2WM278/V/gIevhl8WmmbABav97h5+3dJ8bBqe3FIx9K8BU/8VYVH9WsT4anFBGl1WG3tPNNHY3s1Lu09y2YIJfSveaYXQVutyuHPvylgQV8DA7IZs7+7h7QP907T1bV1092iyk2IgNhlufAZyZptUcvEbfQd2NJmfBzMvHRkrO+HirQ6st//XCAnA8pYDCtDS+8sLCcDGuBd2nqCutYtbVxd6PC4vPQ6LgmO+7oSsOWRaOyQNbWh1dXMnB041Ezd7nRkDs/MRvx6fmRjDzPHJvH/YRS1O2UeAdpvuOlrTyq6KRj6+wMXql0PWNDj3RyYVsvNRv65tVLDZ4KO/wsQl/YOimERYepspgA5mU9rSDTB+gakVCba5V8GtL0JXK9x3PpS8ZQKuiq3wwe/7Aq57z4HXf2RqouZeZQK3K/7q99PlZ8SzZmomj28ud58C90NxVQsFGfFER/r/Y3mRoyHrsXpe2HGcTquN6x3pR+gLrlylIRtKISoeEoI7fsqkIWN4aXf/2ZB9TVjtPcDiUuGmZyFrOjz2yb43YYdfg56u06/9xEC5S02DU3d1YMfeNyUDQVzBHJK4VBg/z/yfKwzzpoARTgKwMUxrzf3rjzE9J4mVXto7xERGMCE1zvedkDWHTHAyxHemG0rMytXKogkw5ypTC+Jty/UAa4sy2VbaMCjVQel6s/tr4hKXj3thxwmUgkvmeQjAAJZ/3qyQvPJdaAzOaseIcfhVM9Fg5RcG37fssyYdueGPwXmu7naz+hSM+i938paZ4vyUifCvq0zAdd858MaPTfAx72qTsvzmIfjSZrj09yYIC3C+4HXL8jje0O76DYCfiv2YATlQdlIs+enxbCmt49FN5cyekMyciU5fk+OXs6tCfMcOyCCvMkVYFOvmjuOtA1W0dvZ9b1Y5xhA5N2GNT4ebnjdp4EeuM6UDB16EhKzgrpaORlGx5t/AVQBms/XVf40kn7gXbngiPDMpRxH51xnDNh+rZ9/JJm5d7br1xECFGQm+pyCDtANyQ3EtybGR5pfFguvB2gF7n/XrHKunZtLVYzrp91O6wWx/jh6cetVa8/zO46yYlOF99JHFAh//M9h6TKH3WEpFbvyz6eU28+OD70vKMX3adjxidqMN1fGtZkUjlAEYmDq2214zK3jzroGr/gnfOgxf2gSX/M40hQxSR/WPzRpHRkI0j20aWk+w7h4bpbVtAdV/OSwuSOPtg9XsO9nEdUsHzH10BGCu6sCC2ANsoIvnjqej28ZbB/p2Q1a5G0OUkAE3P29ev4dNg2amrwtKc9hRr3ANnNw1eA5q1V5z20ip/3LImm569gmPJAAbbTb8CTb/3acg4P4NR0mJi+JyR38rLwoz431LQXY2Q/OJIe+A1FrzQXENK6dkmAaoExZB5nTY4V+qb1lhOtERlv51YF1tZgu0m/qvvSeaOFLd6jn96Cx9ElzwvyY9smWMDOs+ucu8q15+h6l3c2XVl03QtOmeoT9f6UZAmaa4oRaTBOvuhEt+C3M+AYnZIXma6EgLVy7O5Y39lVQ3Bz49oLS2FatNU5QTeAC2yF4HFhtl4bKB3/NxaaZkYGAKUmsTlAWxBYWzJYXpZCfF9JsNWWkfQ+SyC35iFtzyAiSPN7WXp+vux4EK1wDa/j3k5OgIq/8SfpEAbDRpKIfX/xte+gY8fbsJMtw43tDOq3sruW5ZHnHRvr2DLMxIoLG9m/pWL1v5aw6bj0NcASura+N4Q3tvQ1WUMqtg5R/6VXcUFx3B4oI03nfuB1axCWxWtwHY8zuOExWhuGjOeN8vePGnYMo58NqPTNputPvwr6b2x1OhbGaRWYXYfK+prRqK0vWm2DoubWjnGWGuXZqH1aZ5amvg6eneGZBZ3jvxu7M43/y7rps7fnBDY6XMKtjAFGRbnWknE6IVsAiL4qI543j7YBUt9jRkZXMHafFR7ueNJo0z7UUu/YP5fhOmjCIydvBYomPvQ9okM0ZKjDoSgI0m2x4071hXfNGMePj7+VB31OWh//qw1GvriYF6d0J6qwMLUgC2vti0C1jtPP9x3rWmw/nOx/w615qiTA6cau5bhSjdYM7jon6kx6Z5YecJzpyWTUq87533UQou+5PZxffcF01KcrRqroQ9T8GCT3oPiFZ/xaQ5tv8r8Ofr6Tb9tkKdfgyDKVmJLJuUzmOby7AFWIzvCMCmZAe+OWHGuCS+ef40vnaum+9LV60oGo713RciF8+bQKfVxpv7TSuXqqZO70O4k8bB4lsl/egQFWufC+k0mNvWYzrOy+rXqCUBWCh1NJlC4FO7h36uHitsfwimngcX/j/45JPQWA73nAXFb/Y7tK3LyiMflfGxWePITXPfemKgSZnmWK+zFWsOgYow77yGYH1xDeOSY5mc6fRLJ3kCTD7LBGB+jMJZYw/iHEX9lG6AcfPMNvcBNh2to7Kp0/f0o7OUibDuV1C2wawgjVab7zNB0YrPez82f4XZWr7xT373aet1chd0t47JAAzghmX5lNa28eERP3qQOSmuamFiapzbRsm+sFgUXz63iPwMN9/zaYUmBelcvuBYEQvhDrolBWn90pCVzZ39C/CFbyadYbrLt9lrXU/tMu1jZKfhqCUBWCiVvAnFr8Pb/zf0cx36j+k+v+RT5vOi8+GOdyB5IvzrSnj/t70/WJ/eWkFjezefOcO/ACk3LR6lTHsGj2oOmZooN81NfWHtsbHxSC2rp2YO3iAw/wZoLDMpKx/NmZhCSlwUX398B7N/+AIdRz/kgRMTmfc/r7LoZ6+z5H/fYPn/e4NV//cmn/vXVuKjIzhvZoCF2POuNVvj3/yp+35TI1l3u6ljm3YhZPjYfHTVV0zH9P3PB/acjtcyf2wGYBfOGUdKXBSPbg6sGP9wVQtThlCA75PUArC2Q4vTeKAQ9QBzZrEo1s0dzzuHqmnu6KaqqYMcV/VfwrPeOrAN5nOp/xr1JAALpRL7aJ2DL/el7QK15R9m1lfRBX23pU+G2183o1je/Ak8eQu29ib+/sFRFuSlsijfv1qb2KgIJqT40IpiiDsgD1U2c+XdG6lr7eL8WS6Ko2dcbAqG/ei7FWFR/O7a+Xz2zCl8d24bsaqbmKlruGLhRNbNHcf5s3I4a1o2q6Zmcu6MbH5y2Wyfa+MGUcrspotOgGc/G/iqULjsesI05XTVesKd6esgYyqsvyuwXaBlG02LgSDtPhxpYqMiuGLhRF7dc4o6bzWUA9hsmpLqwFtQ+MyRZnROQzaUQnyG6fsWQpfMG0+X1cbr+yqpau4ke+AOSOHdxMX968COvQ8ZRUPuxSjCJ/D1buGZ1lDytikCP77VpG8uDbCreP0xE8yd+d3Bu9WiE0xfowkL4Y0f01axF+o+z+0XrPOp9cRAXndC9lihrgSmfczvc3dZbfz1nRL+9PZhkmKjuOv6hVww28UPj+h4M49w77NmJ5uPTTvPmZHDOTNy4L0XYT9cd+V1oRuDkZhtgrAnbzGDoM/8dmiex5uTO01gnpjl2/Fam9Rpzlz/tq5bLLDyS2YiwLH3TTrEVzabedc+xne0Xb8sn/s3HOOZbRXcvtb3ocjHG9rp6LYNqQWFT5x7gTlqI0PYgsLZovw0xiXH8uDGUnps2nsNmBgsMsaUAhz7wPwcLt1o+tqJUUtWwEKlttjUaM29yt5L6dH+S//+2PqAWXVxt1tNKVMofeMz2Jqr+HfMf3NR9M6AnqogI8FzEX5DqWlL4OcK2O6KRi770wf87o1DXDRnPK9//Qwumz/BfZC44AazO2v/v/16HsD8ss+eFfoZZLMvN81j3/2FqXEabodeMzWAf1wEG/9iarq8KXkLqveb1S9/A/T515vGmOv9fCNRvR86GjyOhBoLpo9LYlF+Ko9uMrNXfVVcbd8BGfIUpL0zfv2AFbAQFuA7ONKQO8obANM4VgSgcC1U7oYjb0NX88jr/yX84lMAppS6UCl1UClVrJT6nov7v62U2mH/s0cp1aOUSldK5Sml3lZK7VdK7VVKfdXpMf+jlDru9Lh1wfzCws6Rfpxyjlk5CLSXUk+32X1WdIEpAPdgd8wi1nX8jM6kfCIeu96ki/w0KSOBhrZuGtrcpFH8HMLd0d3DL145wOV/WU9daxf33ryEu65fSEailxRE/krzjn2Hf6OJ6LFC+UfDV+y97k6Twnn2c74FQMFychc89SkzpDhvGbz6fbh7LRx9z/PjPvwLJGSbZqT+ioqF5Z818/oq9/r+OEfNyhgtwHd23bJ8Sqpb2VJa7/1gu5KqYQrAouIgMadv56Otx7S2GYYVMICL5/W1fBnUhFX4xlHv9Y69rlgCsFHNawCmlIoA/gxcBMwCrldKzXI+Rmt9p9Z6gdZ6AfB94F2tdR1gBb6ptZ4JrAC+OOCxv3M8Tmv9cnC+pBGi5C1To5VWCJlTTV3T5vv876V04CVoreorvvfgvg+O0BA9nug7XjerM6//t2lX4YcC+w4qt2nI3gDMexPWzcfqWPeH97n73RKuWpTL6984k/Nn+VgDpJRZcTn6nvkl4atTu8zK2XD9so9Ph3W/Nh2p9zwzPM/ZeBweudaMz7nhCfjkU3Ddo6Zx5QOXwpOfMscMVH3QBE/LPmPSGYFYchtEJfg3nqh0vdks4liBGcMumTeepJhIHv2ozOfHFFe1kJ4QTXpC4JtafObYCQnQdAJs3cM2Q3BhXioT7FMnZBdkgCYsgsg4U9aSNdP30gMxIvmyArYMKNZaH9FadwGPAS7mlvS6HngUQGt9Umu9zf73ZmA/4Ftb9tHM2mV2qDg3EVzl6KX0sH/n2vIPSMkz7Sc8ONHQzku7TnLt0jySk5Lhinsgb4XpV3Vih89PV2hvCeG2EL/mkFlB8dA7qrXTyo+f38M1f9tIV4+Nf922nF9eNW9wc0hv5l8HaNjlR08wx2rLcO62m3GJ+WG4/g+hH1PU2QyPXms+3vCE6RiuFMxYB1/8CM76gdn08aclZmes1ak7+4d/MUN9l3w68OePT4dFN8HuJ10HeQNp+66tglVBnzU4EsVHR3L5won8e9cJ3jpQ6dNjiqtaQr/65ZBa0BeAOYrxhyEFCSYNeemCCcRGWcjytgIuXIuMhvzl5u+y+3HU8yUAmwg4L0FU4CaIUkrFAxcCg5ZdlFKFwELgI6ebv6SU2qWU+odSauy0x67YZHoeOQdg+cshd5kpxve1gWdtCRx9Fxbd4rUh4QMbj2HTmk+tLjQ3REbDtQ+Z9Nhjn/S5/iw/3bSiOFbjbgXM8w7IqqYOLvj9ezz4YSm3rCzk1a+dwZqiTLfHe5RWaOqGdjzqe2BTusGsPCb70eF+qCwWWP1VswpW/EbonqfHCk99Gir3wTX3w7g5/e+PioOzvgtf3GT+7735E/jLSjj8hukdtPMxmH8tJAT4ejis+IJ5Pd7/NVQf8vzn6LvQUnlapB8dvvWx6cwYl8xnH9rKG/s8B2Faa4qrhzEASyuEpgqTLh+GFhQDff28abz45bVER0r5ccAcaUdJP456vnwXuHrb6u634aXAenv6se8ESiVigrKvaa2b7Df/FZgCLABOAr9x+eRK3aGU2qKU2lJdHYSBwMOh5C3TqHTgN8jqr5h3nftf8O08W+8351l4o8fDWjtN49WL5o7v33g1MRuuf8S0HHj8JrMy50VsVATjk2NdF+JrbdJYHtKPL+46SUV9Ow/ftpz/uWw2CTFD3Gg7/3qz69JRU+eJzWYapIaj2HvOlSbN9sHvQ3N+reE/34PDr8HFv/a8IppWANc9DDc+Y6YBPHwl3Hu2GXS+wo/WE57OP/sKszr756We/zxoXywvWDP05x0lUuKj+Nfty5k1IYXPP7yV/+w55fbY2tYuGtq6Q9+CwiGtALTNbBBqKAWUWWEfJrFREcMXbI5V8641PxdlTNOo58tvxwrA+Ts0Fzjh5tjrsKcfHZRSUZjg62GtdW+RjNa60umYe4EXXZ1Qa30PcA/AkiVLQpzfCZKSt0xh9MAu7NPXmdWZ9XfBrMs9p2SsnbDjYZh+kdfVnCe3lNPcYeX2NS4ar46fD5f/2aycvPxNuPQur6mgwkw3OyHbas1uNg8rYBtKaijIiGfV1CGusjjMvhxe+yH86xOmj1TR+TD1fChcbVZ8nFXvN2necARgkdGw8ovw6g+gYgvkLgnu+T+628xjXPVl31OIU8+Fz2+Aj/4K7/zSbOTInhmc61l3p0l7+rIymZAJWUMbWzXapMRF8dBty7jlH5v40iPb+OP1C7lo7uDv4+LhKsB3cKx21ZeaP8kTh9RQWYRBah5ccXe4r0IEgS8B2GagSCk1CTiOCbJuGHiQUioFOBO40ek2Bfwd2K+1/u2A48drrU/aP70C2BPQVzDStNaamquzfzD4PkuE2RH50jdMqqzQQ6Cw/98m4PFSfN9j0/xj/TEWF6Sx0F3j1TlXmrTV+782/Z+W3+HxnAUZCby618W7di87IK09Nj46Uscl8wMY8eNOTBJ8fr3ZjHD4dbMq+NHdpiFh4Vp7QHae6ege7t12i26Gd38J638P1w5hbuJAB16C/3zf9NE676f+PTYy2qRHF3/KzLAMlvj0wHZSnkaSY6N48NPLuPWfm/nSo9v5g9ZcMq//98awB2DOvcAaSoetAF8IMZjXn8haa6tS6kvAq0AE8A+t9V6l1Ofs9ztC8SuA17TWzksnq4GbgN1KqR32235g3/H4K6XUAkw68xjw2aF/OSPA0XcA7X55eMEN8PbPYcNdngOwLf8071Yne15mfn1fJWV1bXz/ohmer+vs/4KqfSaNlTXNzFt0ozAjnrrWLhrbu/sXznvZAbnreCPNnVZWT83wfC3+Ssk17Q+Wf9aM0Tm23ox4Ovw6vPIdc0z6ZLMak5wbvt12MUmw9DPw/m+gptjsfh2q49vg6dtNo90r7jH1ZoFwMRNThF5SbBQPfHoZn/7nZr7y6HZ6bJqPL+groS2uaiEhOoLxKcO0KzB5AliiTPBVf0zSWEKEkU8/zbXWL2utp2mtp2itf26/7W6n4Aut9f1a6+sGPO4DrbXSWs8b2G5Ca32T1nqu/b7LnFbDRreSt0x7gAkLXd8fFQfL7jCzHd3NEaw+BKUfwOJbvf7Cve/9I+Slx/ExVx3lnVkscMXfzOrVk7dC3VG3h7rdCVlz2Kw8uakZ2VhiBhGvnBzkAMxZVBwUnQcX/RK+sg2+sh0uutOMyWk+BdMvDO9uu+WfhYhoE2APVUM5PHodxGfC9Y+ZCQFi1EmMieT+Ty9l2aR0vv74Dp7ZVtF7X7F9BmQgUysCYokwKazqQ2a27DAW4Ash+pOtKMHkGD80+SzPuxaXfsYEMu56KW2936SLvBTfby+rZ0tpPZ9aNYkIiw8/wGOTTVE+wKPXm1YGLhRmmABs0FDumkNm9piboHB9cQ0zxiV5b7IaTOmTTUr1k0/C9ytMT65wSsyGhZ80cyybfWtD4FJHEzxyjVnx++QTY3aG4ukiPjqSf966jJVTMvjmkzt5covZWF5cNQwzIAdKLegbjj5MLSiEEINJABZMNYeg6bj3Zf2EDFjwSdj1+OBf0t0dsPMR01sq0cWgaid//+AoSTGRXLPUj11M6ZPh6vvNtT7zWbNzcID8dLPSUjqwGWvNIbfpx47uHraU1rM6WMX3gYiIHBm9plZ+CWxWU/weiJ5us0pZcwiueTB4hfMirOKiI/j7LUtZMzWT7zy9i/veP8Kppg6mDPeuwLQCs5kGZAVMiDCSACyYHK0SJp/t/diVXzS/aDf9rf/t+543O/m8FN9X1Lfxyp5TXL88n0R/Wz1MPgsu/D84+BK88/8G3R1nr0nptxOyu93smnJTgL+1tJ4uqy349V+jUcYUmHkZbP6HWcnyh9bw8reh5E24+LcwxYf/S2LUiI2K4N6bl3BGURb/+9J+YBgL8B2cC+9lBUyIsJEALJhK3jK1SL78UMuYAjMvgc1/h86Wvtu3/MO0Wyg8w+PDH9hwDIBbVhUGdq3L7oCFN8F7d5oRSZX7TGfzzmbQmoKMeI45pyBrSwDtdgVsQ0kNERbFskkSgAFm52Fno0kn+2PDH2HrP2HN12HxLSG5NBFesVER/O2mxZwzw6xwzxw3zBskHKteETGQ6KV2VAgRMkHcl36as3bCsQ+81m31s+qrpt3E9n/Bis9B1X4o/xDO/5nH4vvmjm4e21TOxXPHMzE1zu1xHikFF//GFNa/9M0B91n4pyWeup54+GuOqR2zdpj73KyArS+uZX5uiv+rcWPVxEUw6Qwz/mf553zrtbTveTO/c/YVcM6PQn+NImwcQdihymbyM4Z5c4XjDWJqfuC7aoUQQya/LYOl7EMzDNmfbd15SyF/JXz4Z1h6u2k9ERFt6sM8eGJLBc2dVm5f66Lxqj8iY+Dm50z/rI5G6GwyKbPOJopLyjlUdpzLkhKI6m6Bni7Tdytr+qDTNHV0s6uigS+eHYS2C2PJ6q/Cv66E3U94D8wrtsAzd5hxVZf/VX4xngaiIizMnpAy/E+cZv+5IelHIcJKArBgKXnL7Fws9HPkyqovw2M3mIHTOx8ztUMJ7tN41h4b//jgKMsK05mXmzq0awbT1mHquYNuPp59km+WbGPaWWuYm+v5l8RHR+qwaVg1JYwF+CPRlHNN49v1d8H8G9wHVfXHTLuJpHFw/aODO/wLEUxxaZCQBVleegcKIUJK3mYHS8lbkLfcNOP0x7SLTN3YS98yNUNeiu9f3VvJ8YZ2bhvq6pcXjl5gLkcSDbChpIaYSAuLClJDek2jjlJmFazmoOn75kp7Azx8jVlhvOHJoQ/KFsIbpeC21+HM74b7SoQ4rUkAFgwt1XBqV2A71iwW07bA2m7qqzzMMeyy2vjz28UUZMRz3szQ9oVytKI4NrAXmAsbimtZWphOTKSH3menq9lXQEq+GU80kLULnrgJ6o7AtQ+fdvMSRRilT5LpCEKEmQRgwXDkHfMx0LEe86+HCYtg7Tc99rH6+Uv72Heyie9dOMO3xqtDEB8dSU5yDMcG9gIboLq5k4OVzayS9hOuRUTCqi9B+UemTtBBa3jp63D0PbjsLpi0NnzXKIQQYthJABYMJW+ZuorxCwJ7fFQs3PE2zL/O7SHPbT/OAxtLuX3NJC6aOz6w5/FTYUbC4HFEA2woqQFgtdR/ubfwRohLhw9+33fbB781u1/P+I6ZDyqEEOK0IgHYUGltAjBv44eGYP/JJr73zC6WTUrnu96GbgdRYUaC1xqwjSW1JMVGMmdiGHZzjRbRCWZG5KFXoOoA7Hka3vwpzL0azv5BuK9OCCFEGEgANlRV+6HlVODpRy8a27v5/L+2khwbxZ9uWEhUxPC9ZIWZCdS0dNHc0e32mPUlNayYnBHylOiot/QzEBkHL34Nnv28aT/y8T+PjNFJQgghhp0EYEPlGD8UggDMZtN868mdVNS385dPLiI7KTboz+FJYYabmZB25XVtlNe1s3qK1H95lZABi26Gso2QkgvXPWL6sAkhhDgtSR+woSp5CzKnm1+qQfbXd0t4fV8lP750FksK04N+fm8KMvpaUbhKMa4vttd/hXMA92iy5utmCPKZ34X44X89hRBCjBwSgA1FdweUrofFnnt3BeL9w9X85rWDXDZ/ArcGOu9xiAozPa+AbSipJTspZviHCY9WyePhE/eE+yqEEEKMAJKCHIqyjWZGYpDTj8cb2vnKo9spyk7iF1fORYWpTig+OpLspBiOuugFprVmQ0ktq6ZkhO36hBBCiNFKArChKHkLLFFQ6L55qr86rT184V9bsfZo/nrjIuKjw7tI6a4VxaHKFmpaOmX8kBBCCBEACcCGouRtyF9h2gwEyU/+vY+dFY3cefV8JmeFP7VXmBnvshmro/5LGrAKIYQQ/pMALFDNlVC5O6jpxye3lPPIR2V8/qwpXDhnXNDOOxQFGQlUN3fS0mntd/uGkloKMuLJTYsP05UJIYQQo5cEYIEa6vihAfYcb+SHz+1h9dQMvnn+yJkJOMk+lNs5DWntsfHRkVpJPwohhBABkgAsUCVvQXwGjJs35FP12DRffGQb6QnR3HXdQiKHsdmqNwUueoHtPt5Ic6eVVdL/SwghhAjIyPlNP5r0jh86GyxD/yfcVlZPaW0b3183k4zEkdWc09ELzHkn5IaSWgAJwIQQQogASQAWiMq90FoVtPTjG/sriYpQnD09KyjnC6bEmEiykmL6pSA3lNQwY1zSiAsWhRBCiNFCArBAnNxpPuYtD8rp3thXyfJJGSTFRgXlfMFWmBHPsRqTguzo7mHLsXrpfi+EEEIMgQRggagtBkskpBUO+VTHalopqW7lvJnZQ7+uECnISOCYfQVsW2k9nVabpB+FEEKIIZAALBC1hyFtEkQMvUnqG/srATh3Zs6QzxUqkzITqGrupK3LyvqSGiIsimWTZJahEEIIESgJwAJRWwKZRUE51Rv7K5mek0Re+sjtp+XYCXmspo31xbXMz00ZselSIYQQYjSQAMxfth4TgGVMGfKpGtu62XysnnNHcPoRzDgiML3KdlU0SP2XEEIIMUQSgPmrsQJ6OiFj6Ctg7xyqosemOW/WyE0/Qt8K2BNbyrFpWCn1X0IIIcSQSADmr9rD5mPG1CGf6o39VWQmRrMgN3XI5wqlpNgoMhOj2VJaT0ykhUX5aeG+JCGEEGJUkwDMX7Ul5uMQa8C6e2y8c7CKs6dnY7GoIFxYaDnSkEsL04mNigjz1QghhBCjmwRg/qo5DDHJkDC0pqmbj9XR3GEd0bsfnTk64q+aKulHIYQQYqgkAPNXbbFJP6qhrVq9ub+K6EgLa4tGR0F7ob0ObLUM4BZCCCGGbOiNrE43tcWQv3JIp9Ba88b+SlZNySAhZnS8BFcsmogG5k5MCfelCCGEEKOerID5o6sNGsuHXP9VUt1CaW3bqEk/AuSmxfOVc4tGRb2aEEIIMdJJAOaPuiPm4xB7gL2xvwpgRI8fEkIIIUToSADmj94WFENbAXtjXyWzJyQzPiUuCBclhBBCiNFGAjB/1Babj0NYAatr7WJbWf2oSj8KIYQQIrgkAPNHTTEkT4TohIBP8faBKmxa0o9CCCHE6UwCMH/UFgeh/quSnOQY5kyQ3YRCCCHE6UoCMF9pbWrAhlD/1Wnt4b1D1ZwzI0d2EwohhBCnMQnAfNVWCx2NkDEVrTVltW1+n+KjI3W0dvVI+lEIIYQ4zUkA5qsa+w7IzCLeOVTNGXe+zT/XH/XrFG/uryQ2ysLqqdJNXgghhDidSQDmK6cdkO8dqgbgZy/u460DlT493HS/r2LN1CwZZi2EEEKc5iQA81XtYbBEQWoBHx6pY1F+KrMmJPPlR7az70ST14cfONXM8YZ2ST8KIYQQQgIwn9WWQPpkGjp6OHCqibOnZ3PfzUtJio3itgc2U9XU4fHhb+43K2XnzJAATAghhDjdSQDmq5rDkFnEh0fq0BpWTMlgXEos992yhMb2bm5/cAvtXT1uH/76/irm56WSnRw7jBcthBBCiJFIAjBf2HrMHMiMKXx4pJbYKAvzc1MBmDMxhbuuW8ju4418/fEd2Gx60MOrmjvYWd7AebL6JYQQQgh8DMCUUhcqpQ4qpYqVUt9zcf+3lVI77H/2KKV6lFLpSqk8pdTbSqn9Sqm9SqmvOj0mXSn1ulLqsP1jWjC/sKBqKAVbN2QU8eGRWpYUpBMd2fdPd96sHH548Sz+s/cUv3r14KCHv33ADN+W8UNCCCGEAB8CMKVUBPBn4CJgFnC9UmqW8zFa6zu11gu01guA7wPvaq3rACvwTa31TGAF8EWnx34PeFNrXQS8af98ZKotAaApoYADp5pZMTl90CGfXl3IjSvyufvdEh7fXNbvvtf3VTEhJZaZ45OG5XKFEEIIMbL5sgK2DCjWWh/RWncBjwEf93D89cCjAFrrk1rrbfa/NwP7gYn24z4OPGD/+wPA5X5f/XCx9wDb3GL6d62YnDHoEKUU/3PpbNYWZfJfz+5hQ3ENAB3dPXxQXM15s3JQSrrfCyGEEMK3AGwiUO70eQV9QVQ/Sql44ELgaRf3FQILgY/sN+VorU+CCdSAkVsgVVsMsSm8X2EjNsrCPHv910CRERb+/MlFTM5K4HP/2kpxVQsbSmro6LZJ+lEIIYQQvXwJwFwt2wyuNDcuBdbb0499J1AqEROUfU1r7b1pVv/H3qGU2qKU2lJdXe3PQ4PHPgPyw6N1g+q/BkqOjeLvtywlOtLCp+/fzFNbK0iIjnCZthRCCCHE6cmXAKwCyHP6PBc44ebY67CnHx2UUlGY4OthrfUzTndVKqXG248ZD1S5OqHW+h6t9RKt9ZKsrCwfLjcEakvoTJnMgVPNrJwyOP04UF56PPfcvITKpg5e3n2KtUVZxERK93shhBBCGL4EYJuBIqXUJKVUNCbIemHgQUqpFOBM4Hmn2xTwd2C/1vq3Ax7yAnCL/e+3OD9uROlqhabjlKoJAD6vZC3KT+M318zHouCyBRNCeYVCCCGEGGUivR2gtbYqpb4EvApEAP/QWu9VSn3Ofv/d9kOvAF7TWrc6PXw1cBOwWym1w37bD7TWLwO/AJ5QSt0GlAFXB+MLCjr7DsgdbZnERUUwd2Kqzw+9ZN4E1hZlkRIXFaKLE0IIIcRo5DUAA7AHTC8PuO3uAZ/fD9w/4LYPcF1Dhta6FjjX90sNk1qzA/Kt6mSWFKZ5rP9yRYIvIYQQQgwknfC9sa+AvV2T7LL9hBBCCCGEvyQA86bmMO3xE+gkWgIwIYQQQgSFBGDe1B7meMRE4qIimJebEu6rEUIIIcQYIAGYJ1pDbQn7OrNZUphGVIT8cwkhhBBi6Hwqwj9ttVRBZxNbuzMl/SiEEEKIoJElHU9qiwE4qsdJACaEEEKIoJEAzBN7C4oTkblS/yWEEEKIoJEAzJPaYrqIYmJBkdR/CSGEECJopAbMg87KQxy1jWP5lDDNoBRCCCHEmCTLOh50Vx6S+i8hhBBCBJ0EYO70dBPXUka5ZSJzJ0r9lxBCCCGCRwIwdxrKiKAHlTFV6r+EEEIIEVQSWbjRWLEPgIyC2WG+EiGEEEKMNRKAuXG8eDcAU2cuCO+FCCGEEGLMkQDMjdYT+6nXScycUhjuSxFCCCHEGCMBmBtRDUepicmT+i8hhBBCBJ1EFy5UN3cy3lpOT/qUcF+KEEIIIcYgCcBc2HKojBzVQHLuzHBfihBCCCHGIAnAXDh6cAcAOYVzwnshQgghhBiTJABzoa5sPwARWUVhvhIhhBBCjEUSgA1Q1dxBYstRNArSJ4f7coQQQggxBkkANsBHR+qYpE7RlTgRomLDfTlCCCGEGIMkABvgwyO1TLWcJCpnergvRQghhBBjlARgA3xYUsNkyyksGVPDfSlCCCGEGKMkAHNS1dRBc81x4nQ7ZEoBvhBCCCFCQwIwJx8erWOy5aT5JEOasAohhBAiNCQAcxJlUZyT2Wg+yZAVMCGEEEKERmS4L2AkuWjueDhugy1xkDwx3JcjhBBCiDFKVsAGqi026UeL/NMIIYQQIjQkyhio9rDUfwkhhBAipCQAc2btgvpSqf8SQgghREhJAOas/hjoHmlBIYQQQoiQkgDMWW2x+ShNWIUQQggRQhKAOas9bD5KDZgQQgghQkjaUDhbdAvkr4K4tHBfiRBCCCHGMFkBcxaXCnlLw30VQgghhBjjJAATQgghhBhmEoAJIYQQQgwzCcCEEEIIIYaZBGBCCCGEEMNMAjAhhBBCiGEmAZgQQgghxDCTAEwIIYQQYphJACaEEEIIMcwkABNCCCGEGGYSgAkhhBBCDDOltQ73NfhMKVUNlIb4aTKBmhA/h/CfvC4jj7wmI5O8LiOPvCYj03C8LgVa6yxXd4yqAGw4KKW2aK2XhPs6RH/yuow88pqMTPK6jDzymoxM4X5dJAUphBBCCDHMJAATQgghhBhmEoANdk+4L0C4JK/LyCOvycgkr8vII6/JyBTW10VqwIQQQgghhpmsgAkhhBBCDDMJwJwopS5USh1UShUrpb4X7us5XSml/qGUqlJK7XG6LV0p9bpS6rD9Y1o4r/F0o5TKU0q9rZTar5Taq5T6qv12eV3CRCkVq5TapJTaaX9NfmK/XV6TMFNKRSiltiulXrR/Lq9JmCmljimldiuldiiltthvC+vrIgGYnVIqAvgzcBEwC7heKTUrvFd12rofuHDAbd8D3tRaFwFv2j8Xw8cKfFNrPRNYAXzR/v0hr0v4dALnaK3nAwuAC5VSK5DXZCT4KrDf6XN5TUaGs7XWC5xaT4T1dZEArM8yoFhrfURr3QU8Bnw8zNd0WtJavwfUDbj548AD9r8/AFw+nNd0utNan9Rab7P/vRnzy2Ui8rqEjTZa7J9G2f9o5DUJK6VULnAxcJ/TzfKajExhfV0kAOszESh3+rzCfpsYGXK01ifBBANAdpiv57SllCoEFgIfIa9LWNlTXTuAKuB1rbW8JuH3e+A7gM3pNnlNwk8Drymltiql7rDfFtbXJXI4n2yEUy5uky2iQjhRSiUCTwNf01o3KeXq20YMF611D7BAKZUKPKuUmhPmSzqtKaUuAaq01luVUmeF+XJEf6u11ieUUtnA60qpA+G+IFkB61MB5Dl9ngucCNO1iMEqlVLjAewfq8J8PacdpVQUJvh6WGv9jP1meV1GAK11A/AOpnZSXpPwWQ1cppQ6hiljOUcp9S/kNQk7rfUJ+8cq4FlM2VFYXxcJwPpsBoqUUpOUUtHAdcALYb4m0ecF4Bb7328Bng/jtZx2lFnq+juwX2v9W6e75HUJE6VUln3lC6VUHHAecAB5TcJGa/19rXWu1roQ8zvkLa31jchrElZKqQSlVJLj78DHgD2E+XWRRqxOlFLrMPn7COAfWuufh/eKTk9KqUeBszCT6iuBHwPPAU8A+UAZcLXWemChvggRpdQa4H1gN321LT/A1IHJ6xIGSql5mMLhCMyb6Se01j9VSmUgr0nY2VOQ39JaXyKvSXgppSZjVr3AlF49orX+ebhfFwnAhBBCCCGGmaQghRBCCCGGmQRgQgghhBDDTAIwIYQQQohhJgGYEEIIIcQwkwBMCCGEEGKYSQAmhBBeKKW+ppSKd/r8ZUcPLiGECIS0oRBCnPbsjWaV1trm5v5jwBKtdc2wXpgQYsySFTAhxIillPpvpdQBpdTrSqlHlVLfUkpNUUr9xz5U932l1Az7sfcrpe5SSm1QSh1RSl3ldJ5vK6U2K6V2KaV+Yr+tUCm1Xyn1F2AbkKeU+qtSaotSaq/TcV8BJgBvK6Xett92TCmVaf/7N5RSe+x/vjbg3Pfaz/WavVu9EEIAEoAJIUYopdQS4EpgIfAJYIn9rnuAL2utFwPfAv7i9LDxwBrgEuAX9vN8DCjCzH5bACxWSp1hP3468KDWeqHWuhT4L631EmAecKZSap7W+i7MXNiztdZnD7jGxcCngOXACuAzSqmF9ruLgD9rrWcDDfavRQghANOSXwghRqI1wPNa63YApdS/gVhgFfCkyRoCEOP0mOfsacR9Sqkc+20fs//Zbv88ERMclQGlWusPnR5/jVLqDszPxvHALGCXl2t8Vmvdar/GZ4C1mBlzR7XWO+zHbQUKff7KhRBjngRgQoiRSrm4zQI0aK0XuHlMp4vHK+D/tNZ/63dypQqBVqfPJ2FW1JZqreuVUvdjAj5/r9HVtfQAkoIUQvSSFKQQYqT6ALhUKRWrlEoELgbagKNKqavBFM8rpeZ7Oc+rwKft50ApNVEple3iuGRMQNZoXz27yOm+ZiDJxWPeAy5XSsUrpRKAKzBDy4UQwiNZARNCjEha681KqReAnUApsAVoBD4J/FUp9UMgCnjMfoy787ymlJoJbLSnLVuAGzGrUs7H7VRKbQf2AkeA9U533wO8opQ66VwHprXeZl8p22S/6T6t9Xb76poQQrglbSiEECOWUipRa91i78H1HnCH1npbuK9LCCGGSlbAhBAj2T1KqVmYWqwHJPgSQowVsgImhBBCCDHMpAhfCCGEEGKYSQAmhBBCCDHMJAATQgghhBhmEoAJIYQQQgwzCcCEEEIIIYaZBGBCCCGEEMPs/wNMdQF1QjGuUwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
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     "output_type": "display_data"
    }
   ],
   "source": [
    "#analyze pareto quality \n",
    "\n",
    "\n",
    "from os.path import exists\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn\n",
    "import statistics\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (10,5)\n",
    "\n",
    "\n",
    "directoryevs = [\"_baseline\",\"\"]\n",
    "\n",
    "upper_quantile_only = False\n",
    "\n",
    "generation_num = 50\n",
    "total_runs = 40\n",
    "\n",
    "\n",
    "ev = []\n",
    "for directoryev in directoryevs:\n",
    "    temp_ev = []\n",
    "    for i in range(40):\n",
    "        ev_df_name = f\"/Users/matsumoton/pareto/anges{directoryev}_{i}_pareto_fitness.csv\"\n",
    "        #ev_df_name = f\"/Users/matsumoton/Git/results_pop40_gen20_{directoryev}/pareto_fitnesses/digen{j}_run_{i}_evolution_pop40_gen20.csv\"\n",
    "        if not exists(ev_df_name):\n",
    "            continue\n",
    "        fitness_df = pd.read_csv(ev_df_name, sep=',')\n",
    "        fitness_df = fitness_df[~fitness_df.isin([np.nan, np.inf, -np.inf]).any(1)]\n",
    "        temp_ev.append(fitness_df)\n",
    "\n",
    "    temp_ev = pd.concat(temp_ev)\n",
    "    \n",
    "    temp_ev[\"score_diff\"] = abs(temp_ev[\"cv_score\"]-temp_ev[\"holdout_score\"])\n",
    "\n",
    "    \n",
    "    #print(directoryev)\n",
    "    #print(temp_ev.groupby(\"generation\")[\"score_diff\"].mean())\n",
    "    #temp_ev = temp_ev.groupby(\"generation\")[\"score_diff\"].mean()\n",
    "    temp_ev = temp_ev.groupby(\"generation\")[\"holdout_score\"].quantile(0.80)\n",
    "    temp_ev.plot()\n",
    "    #ev.append(temp_ev)\n",
    "#frame_df = pd.concat(ev)\n",
    "#plt.savefig(f\"/Users/matsumoton/Git/meta_pop40_gen15/gen_fitnesses/digen{j}_pop40_gen15_pareto_diff.png\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  }
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